Triple
T9196148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coppet |
E220712
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Founex |
E437777
|
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: Founex | Statement: [Coppet, hasNeighboringMunicipality, Founex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Founex Context triple: [Coppet, hasNeighboringMunicipality, Founex]
-
A.
Founex
chosen
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
-
B.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
C.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
-
D.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
E.
Fillion
Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c36d7208190a593923bad3d18e7 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.