Triple
T20047503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Écrins massif |
E497600
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Pelvoux |
—
|
NE NERFINISHED |
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: Pelvoux | Statement: [Écrins massif, contains, Pelvoux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelvoux Context triple: [Écrins massif, contains, Pelvoux]
-
A.
Vantoux
Vantoux is a small French commune located in the Moselle department in northeastern France, near the city of Metz.
-
B.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
-
C.
Mauvezin
Mauvezin is a small commune in southwestern France, located in the Gers department within the Occitanie region.
-
D.
Pelvoux massif
chosen
The Pelvoux massif is a prominent mountain group in the French Alps known for its high, rugged peaks and extensive glaciation.
-
E.
Échenevex
Échenevex is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632b2de48190abe2b277d89eb695 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.