Triple
T11021037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Veymont |
E260488
|
entity |
| Predicate | mountainRange |
P648
|
FINISHED |
| Object | Vercors |
E49496
|
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: Vercors | Statement: [Grand Veymont, mountainRange, Vercors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vercors Context triple: [Grand Veymont, mountainRange, Vercors]
-
A.
Vercors Massif
chosen
The Vercors Massif is a rugged limestone plateau and mountain range in southeastern France, known for its dramatic cliffs, deep gorges, and role as a stronghold of the French Resistance during World War II.
-
B.
Mont-Oriol
Mont-Oriol is a novel by French writer Guy de Maupassant that satirically explores love, ambition, and the commercialization of a spa town in 19th-century France.
-
C.
Vollore-Montagne
Vollore-Montagne is a small rural commune in central France’s Puy-de-Dôme department, known for its mountainous landscapes in the Auvergne region.
-
D.
Mont-Dore
Mont-Dore is a coastal commune and suburb of Nouméa in New Caledonia, known for its mountainous landscapes and residential areas.
-
E.
Mont-Dore
Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bb6eec81909d8004af31f307f7 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c828b7848190be34a6ba1550d3f1 |
completed | April 18, 2026, 6:06 p.m. |
Created at: April 8, 2026, 9:25 p.m.