Triple
T2445443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernex |
E53379
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Perly-Certoux |
E29606
|
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: Perly-Certoux | Statement: [Bernex, hasNeighboringMunicipality, Perly-Certoux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perly-Certoux Context triple: [Bernex, hasNeighboringMunicipality, Perly-Certoux]
-
A.
Perly-Certoux
chosen
Perly-Certoux is a small municipality in the canton of Geneva in southwestern Switzerland, near the French border.
-
B.
Peney-Dessous
Peney-Dessous is a small village in the municipality of Satigny in the canton of Geneva, Switzerland.
-
C.
Peney-Dessus
Peney-Dessus is a small village within the municipality of Satigny in the canton of Geneva, Switzerland, known for its rural character and surrounding vineyards.
-
D.
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
E.
Gauthier
Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.