Triple
T4574647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrénées-Atlantiques |
E123114
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Béarn |
E123114
|
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: Béarn | Statement: [Pyrénées-Atlantiques, contains, Béarn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béarn Context triple: [Pyrénées-Atlantiques, contains, Béarn]
-
A.
Midi-Pyrénées
Midi-Pyrénées was a former administrative region in southwestern France, centered on Toulouse and known for its diverse landscapes and rich Occitan cultural heritage.
-
B.
Pyrénées-Atlantiques
chosen
Pyrénées-Atlantiques is a department in southwestern France, bordering Spain and the Atlantic Ocean, known for encompassing parts of the Basque Country and Béarn regions.
-
C.
Hautes-Pyrénées
Hautes-Pyrénées is a department in southwestern France, known for its mountainous landscapes in the Pyrenees and popular pilgrimage site of Lourdes.
-
D.
Gascogne
Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
-
E.
Dombes
Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c9f0bc81908d87f01ab067818a |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be922507408190bf3923699da57d95 |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:10 p.m.