Triple

T21524724
Position Surface form Disambiguated ID Type / Status
Subject Karajía sarcophagi E531064 entity
Predicate locatedIn P40 FINISHED
Object Luya Province NE NERFINISHED

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: [Karajía sarcophagi, locatedIn, Luya Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luya Province
Context triple: [Karajía sarcophagi, locatedIn, 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 (2 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee885073888190ae49f967f72acbf8 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.