Triple

T13765969
Position Surface form Disambiguated ID Type / Status
Subject Bossey E330741 entity
Predicate locatedInGeographicalRegion P40 FINISHED
Object Genevois E1045556 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: Genevois | Statement: [Bossey, locatedInGeographicalRegion, Genevois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genevois
Context triple: [Bossey, locatedInGeographicalRegion, Genevois]
  • A. Genevois chosen
    Genevois is a regional identity associated with the historical area around Geneva, reflecting its distinct cultural and historical heritage.
  • B. Côtes de Genève
    Côtes de Genève is a traditional decorative finishing technique used in Swiss watchmaking, characterized by parallel wave-like stripes engraved on movement components.
  • C. Gruyères
    Gruyères is a picturesque medieval town in the Swiss canton of Fribourg, renowned for its historic architecture, hilltop setting, and namesake cheese.
  • D. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • E. Genolier
    Genolier is a small municipality in the canton of Vaud in western Switzerland, known for its scenic setting near Lake Geneva and the Jura Mountains.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a864c0ac81909e5fcd134ea66414 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.