Triple
T8868726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Rochechouart |
E211088
|
entity |
| Predicate | nameElement |
P27866
|
FINISHED |
| Object | Rochechouart |
E660717
|
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: Rochechouart | Statement: [de Rochechouart, nameElement, Rochechouart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochechouart Context triple: [de Rochechouart, nameElement, Rochechouart]
-
A.
Rochechouart
chosen
Rochechouart is a small historic town in west-central France known for its medieval château and proximity to the Rochechouart impact crater site.
-
B.
de Rochechouart
De Rochechouart is the name of an old French noble family historically associated with the aristocracy and the royal court.
-
C.
Truyère
Truyère is a river in south-central France that flows through the Massif Central, known for its deep gorges and hydroelectric dams before joining the Lot River.
-
D.
Figeac
Figeac is a historic town in southwestern France known for its medieval architecture and as the birthplace of Jean-François Champollion, who deciphered Egyptian hieroglyphs.
-
E.
Moissac
Moissac is a historic town in southern France renowned for its Romanesque abbey and cloister, which are listed as a UNESCO World Heritage Site.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61241d048190aead14a8f5589856 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065b51dd881908a7cb8c02562801b |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.