Triple
T551799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferney-Voltaire |
E11855
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Pays de Gex
Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
|
E110898
|
NE FINISHED |
How this triple was built (4 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: [Ferney-Voltaire, locatedIn, Pays de Gex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pays de Gex Context triple: [Ferney-Voltaire, locatedIn, Pays de Gex]
-
A.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
B.
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.
-
C.
Mulhouse
Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
-
D.
Besançon
Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
-
E.
Laconnex
Laconnex is a small rural municipality in western Switzerland, located in the canton of Geneva near the French border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pays de Gex Triple: [Ferney-Voltaire, locatedIn, Pays de Gex]
Generated description
Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pays de Gex Target entity description: Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
-
A.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
B.
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.
-
C.
Mulhouse
Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
-
D.
Besançon
Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
-
E.
Laconnex
Laconnex is a small rural municipality in western Switzerland, located in the canton of Geneva near the French border.
- F. None of above. chosen
Provenance (5 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499047bd4819089ca8345f1b6e46c |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826c02e6c8190843304ae6e27ae37 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a83522fd90819083fb32eb7189e1e6 |
completed | March 4, 2026, 1:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a835c147e08190ad7451472ebd2c72 |
completed | March 4, 2026, 1:38 p.m. |
Created at: March 1, 2026, 7:32 p.m.