Triple

T17284232
Position Surface form Disambiguated ID Type / Status
Subject Caraz E419609 entity
Predicate isCapitalOf P204 FINISHED
Object Huaylas 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: Huaylas Province | Statement: [Caraz, isCapitalOf, Huaylas Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huaylas Province
Context triple: [Caraz, isCapitalOf, Huaylas Province]
  • A. Huaylas Province chosen
    Huaylas Province is an administrative division in the Ancash Region of Peru, known for its Andean landscapes and proximity to the Cordillera Blanca mountain range.
  • B. Huancané Province
    Huancané Province is an administrative division in southern Peru known for its high Andean geography and predominantly Aymara-speaking population.
  • C. Pacasmayo Province
    Pacasmayo Province is an administrative province in northern Peru known for its coastal location along the Pacific Ocean and its role within the La Libertad Region.
  • D. Hualgayoc Province
    Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
  • E. Huamalíes Province
    Huamalíes Province is an administrative province located in central Peru within the Huánuco Region, known for its Andean landscapes and rural communities.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332bd324819080795152293d6d43 completed April 19, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:40 a.m.