Triple
T1492396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chancy |
E29608
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Laconnex |
E55196
|
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: Laconnex | Statement: [Chancy, hasNeighboringMunicipality, Laconnex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laconnex Context triple: [Chancy, hasNeighboringMunicipality, Laconnex]
-
A.
Laconnex
chosen
Laconnex is a small rural municipality in western Switzerland, located in the canton of Geneva near the French border.
-
B.
Le Grand-Saconnex
Le Grand-Saconnex is a municipality in the Geneva metropolitan area of Switzerland, known for hosting parts of the Geneva International Airport and several international organizations.
-
C.
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.
-
D.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
E.
Annecy agglomeration
Annecy agglomeration is an urban area in southeastern France centered on the city of Annecy, known for its lakeside setting, Alpine surroundings, and role as a regional economic and cultural hub.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f8483c8190a72c79f5b60eb927 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 1, 2026, 8:12 p.m.