Triple

T21985961
Position Surface form Disambiguated ID Type / Status
Subject canton of Le Sancy E542961 entity
Predicate contains P35 FINISHED
Object Murol 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: Murol | Statement: [canton of Le Sancy, contains, Murol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murol
Context triple: [canton of Le Sancy, contains, Murol]
  • A. Murol chosen
    Murol is a picturesque commune in central France’s Auvergne region, known for its medieval hilltop castle and scenic volcanic landscapes.
  • B. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • C. Murueta
    Murueta is a small municipality in the Basque Country in northern Spain, known for its rural character and location near the Urdaibai Biosphere Reserve.
  • D. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • E. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12709cb288190a2620e337fea364c completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.