Triple
T19419342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quercy |
E485804
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Cajarc
Cajarc is a small historic town in southwestern France, known for its picturesque setting on the Lot River and its location within the traditional Quercy region.
|
E1399291
|
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: Cajarc | Statement: [Quercy, containsTown, Cajarc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cajarc Context triple: [Quercy, containsTown, Cajarc]
-
A.
Veyrac
Veyrac is a commune in west-central France located in the Haute-Vienne department within the Nouvelle-Aquitaine region.
-
B.
Manosque
Manosque is a historic town in southeastern France’s Provence region, known for its medieval old town, surrounding lavender fields, and proximity to the Luberon mountains.
-
C.
Caudéran
Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
-
D.
Cuers
Cuers is a commune in the Var department of southeastern France, situated inland from Toulon in the Provence-Alpes-Côte d’Azur region.
-
E.
Jussac
Jussac is a commune in the Cantal department of south-central France, known for its rural setting within the Auvergne region.
- 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: Cajarc Triple: [Quercy, containsTown, Cajarc]
Generated description
Cajarc is a small historic town in southwestern France, known for its picturesque setting on the Lot River and its location within the traditional Quercy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cajarc Target entity description: Cajarc is a small historic town in southwestern France, known for its picturesque setting on the Lot River and its location within the traditional Quercy region.
-
A.
Veyrac
Veyrac is a commune in west-central France located in the Haute-Vienne department within the Nouvelle-Aquitaine region.
-
B.
Manosque
Manosque is a historic town in southeastern France’s Provence region, known for its medieval old town, surrounding lavender fields, and proximity to the Luberon mountains.
-
C.
Caudéran
Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
-
D.
Cuers
Cuers is a commune in the Var department of southeastern France, situated inland from Toulon in the Provence-Alpes-Côte d’Azur region.
-
E.
Jussac
Jussac is a commune in the Cantal department of south-central France, known for its rural setting within the Auvergne region.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afbaf0c8190913eda4b04efbe67 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbaca6608190b90f031529133a95 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc950cd8819084a9184a20a15b85 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd016aa88190890d6272e51c30e2 |
completed | May 16, 2026, 2:57 a.m. |
Created at: April 10, 2026, 1:37 p.m.