Triple

T12778196
Position Surface form Disambiguated ID Type / Status
Subject Huancayo E305433 entity
Predicate capitalOf P204 FINISHED
Object Huancayo Province E456894 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: Huancayo Province | Statement: [Huancayo, capitalOf, Huancayo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huancayo Province
Context triple: [Huancayo, capitalOf, 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. 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. Hualgayoc Province
    Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
  • E. 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.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9a12008190a86d8e11bf86d536 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 5:29 p.m.