Triple
T1292369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourbonnais |
E27574
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Moulins |
E29623
|
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: Moulins | Statement: [Bourbonnais, capital, Moulins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulins Context triple: [Bourbonnais, capital, Moulins]
-
A.
Moulins
chosen
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
B.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
-
C.
Alès
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
-
D.
Muret
Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
-
E.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d7d15081909d3af19b9297f1cc |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad014bec148190b0809f0a1c0b6285 |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:51 p.m.