Triple
T2123796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châteauroux |
E43984
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Castelroussine |
E236396
|
NE FINISHED |
How this triple was built (2 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: Castelroussine | Statement: [Châteauroux, hasDemonym, Castelroussine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castelroussine Context triple: [Châteauroux, hasDemonym, Castelroussine]
-
A.
Castelroussin
chosen
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
-
B.
de Rochechouart
De Rochechouart is the name of an old French noble family historically associated with the aristocracy and the royal court.
-
C.
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.
-
D.
Langres
Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
-
E.
Langeac
Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ae58cf2a588190a59dc1ae5d684538 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.