Triple

T20402204
Position Surface form Disambiguated ID Type / Status
Subject Amazonas Region E500361 entity
Predicate hasProvince P285 FINISHED
Object Luya Province E916793 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: Luya Province | Statement: [Amazonas Region, hasProvince, Luya Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luya Province
Context triple: [Amazonas Region, hasProvince, Luya Province]
  • A. Luya Province chosen
    Luya Province is an administrative province in northern Peru known for its archaeological sites, cloud forests, and location within the Amazonas Region.
  • B. Bagua Province
    Bagua Province is an administrative province in northern Peru known for its location within the Amazonas Region and its mix of Andean and Amazonian geographic and cultural features.
  • C. Ayopaya Province
    Ayopaya Province is an administrative province located in central Bolivia, known for its mountainous terrain and rural Andean communities.
  • D. Biliran Province
    Biliran Province is a small island province in the Eastern Visayas region of the Philippines, known for its volcanic landscapes, waterfalls, and coastal scenery.
  • E. Choapa Province
    Choapa Province is an administrative division in north-central Chile known for its agricultural valleys, mining activities, and coastal areas within the Coquimbo Region.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798fc3b88190a372c34102bfaa6f completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b17960081908497556574011fd3 completed May 16, 2026, 2:11 p.m.
Created at: April 16, 2026, 11:29 a.m.