Triple

T17826481
Position Surface form Disambiguated ID Type / Status
Subject Huacaybamba Province E445129 entity
Predicate administrativeCenter P1474 FINISHED
Object Huacaybamba 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: Huacaybamba | Statement: [Huacaybamba Province, administrativeCenter, Huacaybamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huacaybamba
Context triple: [Huacaybamba Province, administrativeCenter, Huacaybamba]
  • A. Huacaybamba chosen
    Huacaybamba is a town in the Huánuco Region of central Peru that serves as the administrative and commercial center of the surrounding rural province.
  • B. Vilcashuamán
    Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
  • C. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • D. Urubamba
    Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
  • E. Huancabamba
    Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.