Triple
T4315107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puy-de-Dôme (department) |
E94169
|
entity |
| Predicate | subprefecture |
P9697
|
FINISHED |
| Object | Thiers |
E147856
|
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: Thiers | Statement: [Puy-de-Dôme (department), subprefecture, Thiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiers Context triple: [Puy-de-Dôme (department), subprefecture, Thiers]
-
A.
Thiers
chosen
Thiers is a historic French town in the Auvergne region, renowned as a major traditional center of cutlery and knife-making.
-
B.
Vendôme
Vendôme is a historic town in the Loir-et-Cher department of central France, known for its medieval architecture and role as a former stronghold of the counts and dukes of Vendôme.
-
C.
Varennes
Varennes is a suburban city located on the south shore of the Saint Lawrence River in the Montérégie region of Quebec, Canada.
-
D.
Tallard
Tallard is a French surname most notably associated with Camille d'Hostun, duc de Tallard, a marshal of France during the War of the Spanish Succession.
-
E.
Belfort
Belfort is the surname of Jordan Belfort, the American former stockbroker, motivational speaker, and author whose high-profile fraud case inspired the film "The Wolf of Wall Street."
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f4448481908be2c7df9cc71bb9 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d08245408190b1ce584c636bf168 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:12 p.m.