Triple
T10215418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massif des Bauges |
E242427
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | La Motte-en-Bauges |
E678130
|
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: La Motte-en-Bauges | Statement: [Massif des Bauges, containsVillage, La Motte-en-Bauges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Motte-en-Bauges Context triple: [Massif des Bauges, containsVillage, La Motte-en-Bauges]
-
A.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
B.
Escoutoux
Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
La Motte
La Motte is a central character in Ann Radcliffe’s Gothic novel "The Romance of the Forest," depicted as a troubled, morally conflicted man whose actions drive much of the story’s suspense and mystery.
-
E.
La Motte
chosen
La Motte is a small commune in southeastern France’s Var department, known for its Provençal countryside, vineyards, and proximity to the Mediterranean coast.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652f1ffb88190986ea53749fc5e03 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:04 a.m.