Triple

T20747508
Position Surface form Disambiguated ID Type / Status
Subject Abancay E510623 entity
Predicate capitalOf P204 FINISHED
Object Abancay 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: Abancay Province | Statement: [Abancay, capitalOf, Abancay Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abancay Province
Context triple: [Abancay, capitalOf, Abancay Province]
  • A. Abancay Province chosen
    Abancay Province is an administrative province in southern Peru, known for its capital city Abancay and its location within the Andean Apurímac Region.
  • B. Huancayo Province
    Huancayo Province is an important administrative and commercial region in Peru’s central highlands, centered on the city of Huancayo in the Mantaro Valley.
  • C. Chanchamayo Province
    Chanchamayo Province is an agricultural and ecotourism-focused province in central Peru known for its coffee, citrus production, and lush high jungle landscapes.
  • D. Challapata Province
    Challapata Province is an administrative province in Bolivia’s Oruro Department, known for its high-altitude Andean landscapes and agricultural communities.
  • E. Huacaybamba Province
    Huacaybamba Province is an administrative province located in the Andean Huánuco Region of central Peru, known for its mountainous terrain 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_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.