Triple

T19252540
Position Surface form Disambiguated ID Type / Status
Subject Crozet E481429 entity
Predicate hasNeighbouringCommune P33892 FINISHED
Object Lélex 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: Lélex | Statement: [Crozet, hasNeighbouringCommune, Lélex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lélex
Context triple: [Crozet, hasNeighbouringCommune, Lélex]
  • A. Lélex chosen
    Lélex is a small French mountain village and ski resort in the Jura Mountains, known as a gateway for hiking and winter sports.
  • B. Leles
    Leles is a town in West Java, Indonesia, known as one of the settlements along the Bandung–Garut railway line.
  • C. Lelex
    Lelex is a figure from Greek mythology known as one of the heroes who took part in the legendary Calydonian Boar Hunt.
  • D. Lelos
    Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
  • E. Loëx
    Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb31f8ac81909cd9a417b60f86a8 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.