Triple
T2814120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veyrier |
E54241
|
entity |
| Predicate | borderWith |
P224
|
FINISHED |
| Object | Thônex |
E31639
|
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: Thônex | Statement: [Veyrier, borderWith, Thônex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thônex Context triple: [Veyrier, borderWith, Thônex]
-
A.
Thônex
chosen
Thônex is a municipality in western Switzerland that forms part of the suburban area of Geneva near the French border.
-
B.
Visé
Visé is a municipality in eastern Belgium situated along the Meuse River in the province of Liège, known for its historic town center and strategic location near the Dutch border.
-
C.
Leyssins
Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
-
D.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
E.
Confignon
Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ba34c819085a336498fc326b0 |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9f964081909e422aaf1f026dbb |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.