Triple
T1177392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva tram network |
E25058
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Vernier |
E9287
|
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: Vernier | Statement: [Geneva tram network, connectsTo, Vernier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vernier Context triple: [Geneva tram network, connectsTo, Vernier]
-
A.
Vernier
chosen
Vernier is a municipality in the canton of Geneva in southwestern Switzerland, forming part of the Geneva metropolitan area.
-
B.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
C.
Versonnex
Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
D.V.I.
D.V.I. is the standard abbreviation for the District Court of the Virgin Islands, a federal court with jurisdiction over the U.S. Virgin Islands.
-
E.
Meraki
Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd0ebbd08190a441d16a5b65a15e |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f1cab308190bdb5ae1e01d83b61 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:45 p.m.