Triple

T11601934
Position Surface form Disambiguated ID Type / Status
Subject Payerne E275151 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Villarzel E812484 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: Villarzel | Statement: [Payerne, neighboringMunicipality, Villarzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villarzel
Context triple: [Payerne, neighboringMunicipality, Villarzel]
  • A. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • B. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • C. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • D. Vallon chosen
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954daa908190a8d532e43aa4a881 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7f018a881908f4b206699044ceb completed April 22, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:38 p.m.