Triple

T2759828
Position Surface form Disambiguated ID Type / Status
Subject Palpa E61192 entity
Predicate partOf P40 FINISHED
Object Palpa Province E348265 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: Palpa Province | Statement: [Palpa, partOf, Palpa Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palpa Province
Context triple: [Palpa, partOf, Palpa Province]
  • A. Palpa Province chosen
    Palpa Province is an administrative subdivision in southern Peru, located within the Ica Region and known for its desert landscapes and archaeological sites.
  • B. Loayza Province
    Loayza Province is an administrative province located within Bolivia’s La Paz Department, known for its rural communities and Andean landscapes.
  • C. Pacajes Province
    Pacajes Province is an administrative province located in the La Paz Department of western Bolivia, known for its high Andean landscapes and Aymara indigenous communities.
  • D. Inquisivi Province
    Inquisivi Province is an administrative subdivision in western Bolivia known for its mountainous terrain and rural Andean communities.
  • E. Cajatambo Province
    Cajatambo Province is an administrative subdivision in the highland area of Peru’s Lima Region, known for its Andean landscapes and 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd2121548190b96f174e6f61f9b5 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b53fc6f4b48190aebcf7457b6d670d completed March 14, 2026, 11 a.m.
Created at: March 6, 2026, 9:57 p.m.