Triple
T1297253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puy-de-Dôme |
E27681
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chaîne des Puys |
E27681
|
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: Chaîne des Puys | Statement: [Puy-de-Dôme, contains, Chaîne des Puys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaîne des Puys Context triple: [Puy-de-Dôme, contains, Chaîne des Puys]
-
A.
Puy-de-Dôme
chosen
Puy-de-Dôme is a department in central France known for its volcanic landscapes, including the Chaîne des Puys and the iconic Puy de Dôme volcano.
-
B.
Puy de Sancy
Puy de Sancy is a prominent volcanic peak in central France known for being the tallest mountain in the Massif Central range.
-
C.
Grands Causses
Grands Causses is a rugged limestone plateau region in southern France known for its deep gorges, dramatic cliffs, and pastoral landscapes within the broader Massif Central.
-
D.
Plateau de Millevaches
Plateau de Millevaches is a high granite plateau in central France known for its forests, peat bogs, and sparsely populated rural landscapes within the Massif Central.
-
E.
Mont Aigoual
Mont Aigoual is a prominent peak in the Cévennes range of southern France, known for its panoramic views and historic meteorological observatory.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0f6bc90819094cad5d62550ea19 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5fa07c8190a410461d51ef1f3a |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:51 p.m.