Triple
T10070321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auvergne |
E213603
|
entity |
| Predicate | contains |
P35
|
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: [Auvergne, contains, Thiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiers Context triple: [Auvergne, contains, 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.
Barthélemy
Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
-
D.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
E.
Gambetta
Gambetta is a French surname most famously associated with Léon Gambetta, a prominent 19th-century French statesman and republican leader.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcffa045c8190a08db0bb74cb006a |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aa05cc881909f59178e9c6c01ef |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:58 p.m.