Triple
T3853129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tournefeuille |
E85343
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Tournefeuillais
Tournefeuillais is the French demonym for inhabitants of the commune of Tournefeuille in southwestern France.
|
E392184
|
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: Tournefeuillais | Statement: [Tournefeuille, hasDemonym, Tournefeuillais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tournefeuillais Context triple: [Tournefeuille, hasDemonym, Tournefeuillais]
-
A.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
B.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
C.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
D.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
-
E.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
- 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: Tournefeuillais Triple: [Tournefeuille, hasDemonym, Tournefeuillais]
Generated description
Tournefeuillais is the French demonym for inhabitants of the commune of Tournefeuille in southwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tournefeuillais Target entity description: Tournefeuillais is the French demonym for inhabitants of the commune of Tournefeuille in southwestern France.
-
A.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
B.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
C.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
D.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
-
E.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec01f7b48190ba1ec89328b3fccb |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b50419e7a0819087f9bc7fbfec4116 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b50523dbb08190b1fd089092c1b2a6 |
completed | March 14, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50594e4888190b2db45eee2a988a7 |
completed | March 14, 2026, 6:52 a.m. |
Created at: March 9, 2026, 3:19 p.m.