Triple
T3953300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornex |
E84916
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Échenevex |
E350314
|
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: Échenevex | Statement: [Ornex, hasBorderWith, Échenevex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Échenevex Context triple: [Ornex, hasBorderWith, Échenevex]
-
A.
Échenevex
chosen
Échenevex is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
B.
Mont Veyrier
Mont Veyrier is a prominent mountain in the French Alps overlooking Lake Annecy, known for its scenic hiking trails and panoramic views of the lake and surrounding region.
-
C.
Puyvalador
Puyvalador is a small mountain commune and former ski resort in the French Pyrenees, known for its lake and natural alpine setting.
-
D.
Mont Mézenc
Mont Mézenc is a prominent volcanic peak in the Massif Central of France, known as one of the highest points in the region and a popular destination for hiking and panoramic views.
-
E.
Mont Tendre
Mont Tendre is the highest peak of the Swiss Jura, known for its gentle pastures, panoramic views over Lake Geneva and the Alps, and popular hiking routes.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93b8f5c8190bdb062a76b68b3e0 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57688f8cc819088a61aba386deb1e |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:30 p.m.