Triple
T11313473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute A9 |
E267901
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
La Languedocienne
La Languedocienne is the French Mediterranean coastal motorway linking cities such as Orange, Montpellier, and Perpignan near the Spanish border.
|
E917574
|
NE FINISHED |
How this triple was built (4 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: La Languedocienne | Statement: [Autoroute A9, alsoKnownAs, La Languedocienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Languedocienne Context triple: [Autoroute A9, alsoKnownAs, La Languedocienne]
-
A.
La Comtoise
La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
-
B.
Le Barcarès
Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
-
C.
Le Vanneur
Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
-
D.
Ombrée d'Anjou
Ombrée d'Anjou is a commune in western France located within the Maine-et-Loire department in the Pays de la Loire region.
-
E.
De Gautet
De Gautet is a fictional henchman and ally of Duke Michael of Strelsau in Anthony Hope’s adventure novel "The Prisoner of Zenda."
- 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: La Languedocienne Triple: [Autoroute A9, alsoKnownAs, La Languedocienne]
Generated description
La Languedocienne is the French Mediterranean coastal motorway linking cities such as Orange, Montpellier, and Perpignan near the Spanish border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Languedocienne Target entity description: La Languedocienne is the French Mediterranean coastal motorway linking cities such as Orange, Montpellier, and Perpignan near the Spanish border.
-
A.
La Comtoise
La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
-
B.
Le Barcarès
Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
-
C.
Le Vanneur
Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
-
D.
Ombrée d'Anjou
Ombrée d'Anjou is a commune in western France located within the Maine-et-Loire department in the Pays de la Loire region.
-
E.
De Gautet
De Gautet is a fictional henchman and ally of Duke Michael of Strelsau in Anthony Hope’s adventure novel "The Prisoner of Zenda."
- F. None of above. chosen
Provenance (5 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c1b7dc81908d8cc768c47390d3 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a910a2c8190b8afd4c988e64141 |
completed | April 19, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69e5167083fc8190b5cdbfca5b25b295 |
completed | April 19, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e51795f024819086bfe7deba485fdd |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.