Triple
T15616471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Thomas Villaret de Joyeuse |
E375424
|
entity |
| Predicate | placeOfBirth |
P1
|
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: [Louis Thomas Villaret de Joyeuse, placeOfBirth, Auch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auch Context triple: [Louis Thomas Villaret de Joyeuse, placeOfBirth, 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.
Ook
Ook is the mascot of the Northern Alberta Institute of Technology, typically depicted as a spirited owl symbolizing the school’s identity and athletic teams.
-
C.
Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
-
D.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
E.
Elze
Elze is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim region.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56dd1e4c819090bf3cd4425b39b7 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.