Triple

T14814200
Position Surface form Disambiguated ID Type / Status
Subject Palpa Province E348265 entity
Predicate borders P224 FINISHED
Object Lucanas Province E1002203 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: Lucanas Province | Statement: [Palpa Province, borders, Lucanas Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucanas Province
Context triple: [Palpa Province, borders, Lucanas Province]
  • A. Lucanas Province chosen
    Lucanas Province is an administrative province in southern-central Peru, located within the Ayacucho Region and known for its high Andean landscapes and rural communities.
  • B. Celendín Province
    Celendín Province is an administrative division in northern Peru known for its Andean landscapes, rural communities, and traditional highland culture.
  • C. Melgar Province
    Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
  • D. Capinota Province
    Capinota Province is an administrative province in central Bolivia known for its agricultural activities and location within the Cochabamba Department.
  • E. Arce Province
    Arce Province is an administrative subdivision in southern Bolivia, located within the Tarija Department and known for its agricultural activities and border proximity to Argentina.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232149f88190b385fca6a7588d7b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 1:48 a.m.