Triple
T2123795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châteauroux |
E43984
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Castelroussin
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
|
E236396
|
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: Castelroussin | Statement: [Châteauroux, hasDemonym, Castelroussin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castelroussin Context triple: [Châteauroux, hasDemonym, Castelroussin]
-
A.
Château-Neuf
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
B.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
C.
Château Olivier
Château Olivier is a historic Bordeaux wine estate in the Pessac-Léognan appellation, renowned for producing both red and white grand cru classé wines.
-
D.
de Rochechouart
De Rochechouart is the name of an old French noble family historically associated with the aristocracy and the royal court.
-
E.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
- 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: Castelroussin Triple: [Châteauroux, hasDemonym, Castelroussin]
Generated description
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castelroussin Target entity description: Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
-
A.
Château-Neuf
Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
-
B.
Château-Vieux
Château-Vieux is a historic medieval fortress in Bayonne, France, notable for its long military and architectural heritage.
-
C.
Château Olivier
Château Olivier is a historic Bordeaux wine estate in the Pessac-Léognan appellation, renowned for producing both red and white grand cru classé wines.
-
D.
de Rochechouart
De Rochechouart is the name of an old French noble family historically associated with the aristocracy and the royal court.
-
E.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519bfdb08190a7b715fbc5fd3f41 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae521c7810819086b88bb5f062597e |
completed | March 9, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae52e79c788190bbe6eb5baba08a71 |
completed | March 9, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:44 p.m.