Triple
T10885810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeyres-sous-Montagny |
E257041
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Essert-Pittet |
E860319
|
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: Essert-Pittet | Statement: [Valeyres-sous-Montagny, neighboringMunicipality, Essert-Pittet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essert-Pittet Context triple: [Valeyres-sous-Montagny, neighboringMunicipality, Essert-Pittet]
-
A.
Essert-Pittet
chosen
Essert-Pittet is a small municipality in the canton of Vaud in western Switzerland.
-
B.
Pelforth–Sauvage–Lejeune
Pelforth–Sauvage–Lejeune was a French professional road cycling team of the 1960s sponsored by the Pelforth brewery and Sauvage–Lejeune bicycle brand.
-
C.
Aspremont
Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
-
D.
Serre-Chevalier
Serre-Chevalier is a major ski resort in the French Alps, renowned for its extensive slopes, sunny climate, and traditional mountain villages.
-
E.
Lasserre
Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751dd6a3c81909965ef774e8b7309 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ecf1c48190aef0d31ef03d1f88 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.