Triple

T18291049
Position Surface form Disambiguated ID Type / Status
Subject Bagnes E438114 entity
Predicate contains P35 FINISHED
Object Lourtier 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: Lourtier | Statement: [Bagnes, contains, Lourtier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lourtier
Context triple: [Bagnes, contains, Lourtier]
  • A. Lourtier chosen
    Lourtier is a small alpine village in the Val de Bagnes region of the Swiss canton of Valais.
  • B. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Lemerig
    Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
  • E. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500fee5248190928e68ddaa4d90d7 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.