Triple
T4498309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midi-Pyrénées |
E100752
|
entity |
| Predicate | historicalRegion |
P915
|
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: [Midi-Pyrénées, historicalRegion, Bigorre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigorre Context triple: [Midi-Pyrénées, historicalRegion, 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.
Eyraud
Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
-
C.
Crassier
Crassier is a small Swiss municipality in the canton of Vaud, located near the French border in the Nyon District.
-
D.
Gave d’Ossau
Gave d’Ossau is a mountain river in the French Pyrenees that drains the Ossau Valley and contributes to the Gave de Pau watershed.
-
E.
Pendre
Pendre is a station and key operational hub on the historic narrow-gauge Talyllyn Railway in Wales.
- 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.