Triple
T319043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare Montparnasse |
E7771
|
entity |
| Predicate | servesDirection |
P12959
|
FINISHED |
| Object |
southwestern France
Southwestern France is a broad region of France known for its Atlantic coastline, historic cities like Bordeaux and Toulouse, renowned wine and cuisine, and diverse landscapes ranging from beaches to the Pyrenees mountains.
|
E41345
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: southwestern France | Statement: [Gare Montparnasse, servesDirection, southwestern France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: southwestern France Context triple: [Gare Montparnasse, servesDirection, southwestern France]
-
A.
eastern France
Eastern France is the region of France bordering countries like Germany, Switzerland, and Belgium, historically significant as a strategic frontier and site of major fortifications and conflicts.
-
B.
Touraine
Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
-
C.
Auvergne-Rhône-Alpes region
The Auvergne-Rhône-Alpes region is a large administrative region in east-central France known for its major cities like Lyon and Grenoble, diverse landscapes from the Alps to volcanic highlands, and strong industrial and agricultural economy.
-
D.
Occitanie
Occitanie is a large administrative region in southern France known for its Mediterranean coastline, historic cities like Toulouse and Montpellier, and diverse landscapes ranging from coastal plains to the Pyrenees.
-
E.
Provence-Alpes-Côte d’Azur
Provence-Alpes-Côte d’Azur is a region in southeastern France known for its Mediterranean coastline, picturesque villages, and cultural hubs such as Marseille and Nice.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: southwestern France Triple: [Gare Montparnasse, servesDirection, southwestern France]
Generated description
Southwestern France is a broad region of France known for its Atlantic coastline, historic cities like Bordeaux and Toulouse, renowned wine and cuisine, and diverse landscapes ranging from beaches to the Pyrenees mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: southwestern France Target entity description: Southwestern France is a broad region of France known for its Atlantic coastline, historic cities like Bordeaux and Toulouse, renowned wine and cuisine, and diverse landscapes ranging from beaches to the Pyrenees mountains.
-
A.
eastern France
Eastern France is the region of France bordering countries like Germany, Switzerland, and Belgium, historically significant as a strategic frontier and site of major fortifications and conflicts.
-
B.
Touraine
Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
-
C.
Auvergne-Rhône-Alpes region
The Auvergne-Rhône-Alpes region is a large administrative region in east-central France known for its major cities like Lyon and Grenoble, diverse landscapes from the Alps to volcanic highlands, and strong industrial and agricultural economy.
-
D.
Occitanie
Occitanie is a large administrative region in southern France known for its Mediterranean coastline, historic cities like Toulouse and Montpellier, and diverse landscapes ranging from coastal plains to the Pyrenees.
-
E.
Provence-Alpes-Côte d’Azur
Provence-Alpes-Côte d’Azur is a region in southeastern France known for its Mediterranean coastline, picturesque villages, and cultural hubs such as Marseille and Nice.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesDirection Context triple: [Gare Montparnasse, servesDirection, southwestern France]
-
A.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
B.
servesLine
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
-
C.
alsoServes
Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
-
D.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
-
E.
servesBranch
Indicates that one entity provides services or support to a particular branch or subdivision of an organization.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7df63c8190b7cd1bcfdfd96187 |
completed | Feb. 28, 2026, 1:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cafef7d48190b00f577488298605 |
completed | March 1, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69a3cb608d5481908e43e0c0d021f925 |
completed | March 1, 2026, 5:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3cc0fb7b48190bf002516d07b6bc5 |
completed | March 1, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_69a2e94513ec819089f5177f7a521e65 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eb7c56bc8190ab787801af2eec8d |
completed | Feb. 28, 2026, 1:19 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.