Triple
T688618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Genis-Pouilly |
E13341
|
entity |
| Predicate | locatedIn |
P40
|
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: [Saint-Genis-Pouilly, locatedIn, Pays de Gex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pays de Gex Context triple: [Saint-Genis-Pouilly, locatedIn, 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.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
C.
Montgenèvre
Montgenèvre is a French Alpine ski resort village in the Hautes-Alpes department, known for its high-altitude slopes and location near the Italian border.
-
D.
Thoiry
Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
Mulhouse
Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a09669e4819089753204772e1fdd |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2ede6208190ba0857f4b0209fcf |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:36 p.m.