Triple
T5858251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardèche department |
E130207
|
entity |
| Predicate | largestTown |
P235
|
FINISHED |
| Object | Annonay |
E286819
|
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: Annonay | Statement: [Ardèche department, largestTown, Annonay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annonay Context triple: [Ardèche department, largestTown, Annonay]
-
A.
Annonay
chosen
Annonay is a historic town in the Ardèche department of southeastern France, known as the birthplace of the Montgolfier brothers and early hot air balloon flight.
-
B.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
C.
Bonaly
Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
-
D.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
E.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358654e48190908e7390a0164726 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c3a69881908ffeee1ddbeb8618 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.