Triple
T17495573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays d’Olmes |
E426048
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lesparrou
Lesparrou is a small commune in the Ariège department of southwestern France, situated in the historical region of Occitanie.
|
E1274187
|
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: Lesparrou | Statement: [Pays d’Olmes, contains, Lesparrou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesparrou Context triple: [Pays d’Olmes, contains, Lesparrou]
-
A.
Auvillar
Auvillar is a picturesque historic village in southwestern France, renowned for its circular covered market, medieval architecture, and views over the Garonne River.
-
B.
Caudéran
Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
-
C.
Lavaur
Lavaur is a historic commune in southern France known for its medieval architecture and prominent cathedral, situated in the Tarn department of the Occitanie region.
-
D.
Montsaunès
Montsaunès is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
-
E.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
- 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: Lesparrou Triple: [Pays d’Olmes, contains, Lesparrou]
Generated description
Lesparrou is a small commune in the Ariège department of southwestern France, situated in the historical region of Occitanie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lesparrou Target entity description: Lesparrou is a small commune in the Ariège department of southwestern France, situated in the historical region of Occitanie.
-
A.
Auvillar
Auvillar is a picturesque historic village in southwestern France, renowned for its circular covered market, medieval architecture, and views over the Garonne River.
-
B.
Caudéran
Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
-
C.
Lavaur
Lavaur is a historic commune in southern France known for its medieval architecture and prominent cathedral, situated in the Tarn department of the Occitanie region.
-
D.
Montsaunès
Montsaunès is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
-
E.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520dd9508190872a71d3722228e2 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c937b0948190bb574a497b61d8eb |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01c9e00bcc8190b81bb15b210f05c0 |
completed | May 11, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ca88ec5081908dec247a3bea698e |
completed | May 11, 2026, 12:24 p.m. |
Created at: April 10, 2026, 5:48 a.m.