Triple

T18670704
Position Surface form Disambiguated ID Type / Status
Subject Gland municipality E456466 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Bursinel NE NERFINISHED

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: Bursinel | Statement: [Gland municipality, hasNeighboringMunicipality, Bursinel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bursinel
Context triple: [Gland municipality, hasNeighboringMunicipality, Bursinel]
  • A. Bursinel chosen
    Bursinel is a small Swiss municipality in the canton of Vaud, known for its scenic location above Lake Geneva and its surrounding vineyards.
  • B. Bursins
    Bursins is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva.
  • C. Brenzett
    Brenzett is a small rural village in Kent, England, situated on the Romney Marsh and known for its historic church and former World War II airfield.
  • D. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • E. Buron
    Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b1140c81908002c27a33c03ae2 completed April 19, 2026, 10:26 p.m.
Created at: April 10, 2026, 11:48 a.m.