Triple
T5526257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Reculet |
E144928
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Pays de Gex |
E110898
|
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: Pays de Gex | Statement: [Le Reculet, overlooks, Pays de Gex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pays de Gex Context triple: [Le Reculet, overlooks, Pays de Gex]
-
A.
Pays de Gex
chosen
Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
-
B.
Genolier
Genolier is a small municipality in the canton of Vaud in western Switzerland, known for its scenic setting near Lake Geneva and the Jura Mountains.
-
C.
Couvet
Couvet is a village in the Val-de-Travers district of the canton of Neuchâtel in western Switzerland, known historically as the birthplace of the jurist Emer de Vattel.
-
D.
Épinal
Épinal is a historic town in northeastern France, known for its traditional image-printing industry and picturesque setting in the Vosges region.
-
E.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f89112c8190b276317fcc2acce0 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cd6ce3c8190ac5ef4c216190266 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:34 p.m.