Triple
T23381746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genève-Eaux-Vives station |
E593765
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Eaux-Vives |
E784789
|
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: Eaux-Vives | Statement: [Genève-Eaux-Vives station, locatedInDistrict, Eaux-Vives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eaux-Vives Context triple: [Genève-Eaux-Vives station, locatedInDistrict, Eaux-Vives]
-
A.
Eaux-Vives
chosen
Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
-
B.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
C.
Ponthévrard
Ponthévrard is a small French commune located in the Yvelines department in north-central France.
-
D.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
E.
Ravières
Ravières is a small commune in the Yonne department of north-central France, situated in the Burgundy region.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b7eff48190be126df2211b4c85 |
completed | April 29, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67905f40819097c13ade0c16c85e |
completed | May 19, 2026, 1:37 p.m. |
Created at: April 17, 2026, 5:34 p.m.