Triple

T11954986
Position Surface form Disambiguated ID Type / Status
Subject Ampato E284527 entity
Predicate province P604 FINISHED
Object Caylloma Province E272060 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: Caylloma Province | Statement: [Ampato, province, Caylloma Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caylloma Province
Context triple: [Ampato, province, Caylloma Province]
  • A. Caylloma Province chosen
    Caylloma Province is a high Andean province in Peru’s Arequipa Region, known for its volcanic landscapes, including the active Sabancaya volcano, and the deep Colca Canyon.
  • 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. Antabamba Province
    Antabamba Province is an administrative province in southern Peru known for its high Andean landscapes, rural communities, and traditional Quechua culture.
  • D. Hualgayoc Province
    Hualgayoc Province is an administrative division in northern Peru known for its high Andean terrain and significant mining activities.
  • E. Aymaraes Province
    Aymaraes Province is an administrative province located in the Apurímac Region of southern Peru, known for its Andean highland landscapes and predominantly Quechua-speaking rural communities.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9112948190a0dd747a67f8206a completed May 3, 2026, 3:36 p.m.
Created at: April 8, 2026, 9:45 p.m.