Triple

T17965879
Position Surface form Disambiguated ID Type / Status
Subject Tayacaja Province E449203 entity
Predicate borders P224 FINISHED
Object Huancayo 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: Huancayo Province | Statement: [Tayacaja Province, borders, Huancayo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huancayo Province
Context triple: [Tayacaja Province, borders, Huancayo Province]
  • A. Huancayo Province chosen
    Huancayo Province is an important administrative and commercial region in Peru’s central highlands, centered on the city of Huancayo in the Mantaro Valley.
  • B. Abancay Province
    Abancay Province is an administrative province in southern Peru, known for its capital city Abancay and its location within the Andean Apurímac Region.
  • C. Huaraz Province
    Huaraz Province is an administrative division in the Ancash Region of Peru, known for its capital city Huaraz and its proximity to the Cordillera Blanca mountain range.
  • D. 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.
  • E. Hualgayoc Province
    Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1380960819089a3c0dd7cd57e5e completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.