Triple
T4315109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puy-de-Dôme (department) |
E94169
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Puy de Dôme (mountain) |
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: Puy de Dôme (mountain) | Statement: [Puy-de-Dôme (department), contains, Puy de Dôme (mountain)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puy de Dôme (mountain) Context triple: [Puy-de-Dôme (department), contains, Puy de Dôme (mountain)]
-
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.
Puy Mary
Puy Mary is a prominent volcanic summit in France’s Massif Central, renowned for its distinctive pyramidal shape and panoramic views over the surrounding Cantal region.
-
D.
Le Puy-en-Velay
Le Puy-en-Velay is a historic town in south-central France renowned for its volcanic landscape, Marian pilgrimage site, and traditional lace-making.
-
E.
Puyvalador
Puyvalador is a small mountain commune and former ski resort in the French Pyrenees, known for its lake and natural alpine setting.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f4448481908be2c7df9cc71bb9 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db9193c08190a6a63b82f604ecde |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:12 p.m.