Triple

T18366399
Position Surface form Disambiguated ID Type / Status
Subject Lunahuaná E440057 entity
Predicate locatedIn P40 FINISHED
Object Cañete Province 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: Cañete Province | Statement: [Lunahuaná, locatedIn, Cañete Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cañete Province
Context triple: [Lunahuaná, locatedIn, Cañete Province]
  • A. Cañete Province chosen
    Cañete Province is an administrative division in central coastal Peru known for its agricultural production, Afro-Peruvian cultural heritage, and location along the Cañete River and Pacific Ocean.
  • B. Cautín Province
    Cautín Province is an administrative division in southern Chile’s Araucanía Region, known for its capital city Temuco and its significant Mapuche cultural presence.
  • C. Campero Province
    Campero Province is an administrative province located within Bolivia’s Cochabamba Department, known for its rural communities and Andean landscapes.
  • D. Celendín Province
    Celendín Province is an administrative division in northern Peru known for its Andean landscapes, rural communities, and traditional highland culture.
  • E. Barranca Province
    Barranca Province is a coastal administrative division in Peru’s Lima Region, known for its agricultural valleys, archaeological sites, and fishing towns along the Pacific Ocean.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174e834481909453ba25561d1b1d completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.