Triple

T20747519
Position Surface form Disambiguated ID Type / Status
Subject Abancay E510623 entity
Predicate hasRegionCode P3446 FINISHED
Object Apurímac 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: Apurímac | Statement: [Abancay, hasRegionCode, Apurímac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apurímac
Context triple: [Abancay, hasRegionCode, Apurímac]
  • A. Apurímac Region chosen
    Apurímac Region is an Andean region in southern Peru known for its deep canyons, highland landscapes, and predominantly Quechua-speaking rural communities.
  • B. Marañón Province
    Marañón Province is an administrative province located in Peru’s central highland department of Huánuco, known for its Andean geography and rural communities.
  • C. Ayacucho
    Ayacucho is a historic city and region in the Peruvian Andes, best known as the site of the decisive 1824 battle that secured Peru’s independence from Spanish rule.
  • D. Ayacucho
    Ayacucho is one of the major oil-rich blocks within Venezuela’s Orinoco Belt, known for its vast extra-heavy crude reserves.
  • E. Oxapampa
    Oxapampa is a town in central Peru known for its German-Austrian immigrant heritage, dairy farming, and lush cloud-forest surroundings in the Andean foothills.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.