Triple
T4498319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midi-Pyrénées |
E100752
|
entity |
| Predicate | notableCity |
P2813
|
FINISHED |
| Object | Auch |
E85342
|
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: Auch | Statement: [Midi-Pyrénées, notableCity, Auch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auch Context triple: [Midi-Pyrénées, notableCity, Auch]
-
A.
Auch
chosen
Auch is a historic town in southwestern France that serves as the capital of the Gers department and is known for its cathedral and medieval old town.
-
B.
Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
-
C.
Annaud
Annaud is the surname of Jean-Jacques Annaud, a renowned French film director, screenwriter, and producer known for works such as "The Name of the Rose" and "The Bear."
-
D.
Aurach
Aurach is a small river in Bavaria, Germany, that flows through the town of Herzogenaurach and into the Regnitz.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f850824819092e518e1bd950f80 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.