Triple
T10001415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val-de-Travers |
E197335
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Môtiers |
E906981
|
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: Môtiers | Statement: [Val-de-Travers, contains, Môtiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Môtiers Context triple: [Val-de-Travers, contains, Môtiers]
-
A.
Môtiers
chosen
Môtiers is a village in the Val-de-Travers district of the canton of Neuchâtel in western Switzerland, known for its historical architecture and association with figures like Jean-Jacques Rousseau.
-
B.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
C.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
D.
Melun
Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
-
E.
Pithiviers
Pithiviers is a small town in north-central France known for its historical architecture and traditional French pastries.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8f50888190b2f1c5240cb58e4f |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462472ed88190a76b04157c235c80 |
completed | April 19, 2026, 5:04 a.m. |
Created at: March 30, 2026, 8:51 p.m.