Triple
T17915758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Bigorre |
E447921
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Bigorre |
E100753
|
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: Bigorre | Statement: [County of Bigorre, namedAfter, Bigorre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigorre Context triple: [County of Bigorre, namedAfter, Bigorre]
-
A.
Bigorre
chosen
Bigorre is a historic cultural region in southwestern France, centered around the foothills of the Pyrenees and now largely within the modern Occitanie administrative region.
-
B.
La Meije
La Meije is a prominent and rugged peak in the French Alps, renowned among mountaineers for its dramatic profile and challenging climbing routes.
-
C.
Eyraud
Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
-
D.
Tergnier
Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
-
E.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03290a45a081909d2a56c784bb3f9a |
completed | May 12, 2026, 1:20 p.m. |
Created at: April 10, 2026, 10:20 a.m.