Triple
T717310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Castelnaudary
Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
|
E115426
|
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: Castelnaudary | Statement: [Occitanie, containsCity, Castelnaudary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castelnaudary Context triple: [Occitanie, containsCity, Castelnaudary]
-
A.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
-
B.
Castelsarrasin
Castelsarrasin is a commune in the Tarn-et-Garonne department in southern France, known as a historic town on the banks of the Garonne River.
-
C.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Uzès
Uzès is a historic town in southern France’s Occitanie region, known for its well-preserved medieval architecture and proximity to the Pont du Gard.
- 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: Castelnaudary Triple: [Occitanie, containsCity, Castelnaudary]
Generated description
Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castelnaudary Target entity description: Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
-
A.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
-
B.
Castelsarrasin
Castelsarrasin is a commune in the Tarn-et-Garonne department in southern France, known as a historic town on the banks of the Garonne River.
-
C.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Uzès
Uzès is a historic town in southern France’s Occitanie region, known for its well-preserved medieval architecture and proximity to the Pont du Gard.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ccab5bc819099c0f060147c8f27 |
completed | March 7, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69ac1d5960408190bf7dd3b8b64709db |
completed | March 7, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1dc56f7481909eb1ffb6b24db39f |
completed | March 7, 2026, 12:44 p.m. |
Created at: March 1, 2026, 7:37 p.m.