Triple

T4472690
Position Surface form Disambiguated ID Type / Status
Subject Cañete E98530 entity
Predicate borders P224 FINISHED
Object Chincha Province E326260 NE FINISHED

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: Chincha Province | Statement: [Cañete, borders, Chincha Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chincha Province
Context triple: [Cañete, borders, Chincha Province]
  • A. Chincha Province chosen
    Chincha Province is an administrative division on the southern coast of Peru, known for its Afro-Peruvian cultural heritage and agricultural production.
  • B. 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.
  • C. Huarochirí Province
    Huarochirí Province is a highland administrative division of Peru’s Lima Region, known for its Andean landscapes, traditional Quechua-speaking communities, and pre-Hispanic cultural heritage.
  • D. Huaral Province
    Huaral Province is an agricultural and coastal province in central Peru known for its fertile valleys, fruit production, and proximity to the capital city of Lima.
  • E. Pisco Province
    Pisco Province is an administrative subdivision of Peru known for its coastal location, production of the Pisco spirit, and proximity to attractions like the Paracas National Reserve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b95c888190a84bf4a9b2c60aa6 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69beb0bc858c8190b70709f5ed743ee6 completed March 21, 2026, 2:52 p.m.
Created at: March 12, 2026, 11:35 p.m.