Triple
T1403543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thônex |
E31639
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Vandœuvres |
E71477
|
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: Vandœuvres | Statement: [Thônex, borders, Vandœuvres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vandœuvres Context triple: [Thônex, borders, Vandœuvres]
-
A.
Vandoeuvres
chosen
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
-
B.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
C.
Plan-les-Ouates
Plan-les-Ouates is a municipality in western Switzerland known for its watchmaking and high-tech industries within the canton of Geneva.
-
D.
Bernay
Bernay is a historic market town in the Normandy region of northern France, known for its medieval architecture and traditional Norman character.
-
E.
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.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3a0330c8190b22452d29c79fcf4 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae515ce1b0819089603a3e0f6b1933 |
completed | March 9, 2026, 4:49 a.m. |
Created at: March 1, 2026, 7:59 p.m.