Triple

T723292
Position Surface form Disambiguated ID Type / Status
Subject Lima Region E14664 entity
Predicate contains P35 FINISHED
Object Huaura Province E94173 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: Huaura Province | Statement: [Lima Region, contains, Huaura Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huaura Province
Context triple: [Lima Region, contains, Huaura Province]
  • A. Orellana Province
    Orellana Province is an Amazonian region in northeastern Ecuador known for its vast tropical rainforests, rich biodiversity, and significant oil reserves.
  • B. Pastaza Province
    Pastaza Province is a large, sparsely populated region in eastern Ecuador within the Amazon rainforest, known for its rich biodiversity and significant Indigenous communities, including the Shuar.
  • C. Cajatambo Province chosen
    Cajatambo Province is an administrative subdivision in the highland area of Peru’s Lima Region, known for its Andean landscapes and rural communities.
  • D. Limarí Province
    Limarí Province is an administrative division in north-central Chile known for its semi-arid climate, agriculture, and pisco-producing valleys.
  • E. Los Ríos Province
    Los Ríos Province is an agricultural region in central-western Ecuador, known for its fertile plains and extensive banana and cacao production.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.