Triple

T21182017
Position Surface form Disambiguated ID Type / Status
Subject Huaca Cao Viejo E521974 entity
Predicate locatedIn P40 FINISHED
Object Ascope 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: Ascope Province | Statement: [Huaca Cao Viejo, locatedIn, Ascope Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascope Province
Context triple: [Huaca Cao Viejo, locatedIn, Ascope Province]
  • A. Ascope Province chosen
    Ascope Province is an administrative province in northern Peru, located within the La Libertad Region along the Pacific coast.
  • B. Palena Province
    Palena Province is a sparsely populated, remote province in southern Chile known for its rugged Patagonian landscapes, fjords, and national parks.
  • C. Mila Province
    Mila Province is an administrative region in northeastern Algeria known for its agricultural lands and historical sites, located inland between several coastal and highland provinces.
  • D. Arque Province
    Arque Province is an administrative subdivision located within Bolivia’s Cochabamba Department, known for its rural Andean communities and traditional agricultural economy.
  • E. Isabel Province
    Isabel Province is a largely rural island province in the Solomon Islands, known for its mountainous terrain, traditional villages, and rich marine and forest biodiversity.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301eb3248190b9f6fc1586651fec completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:04 p.m.