Triple

T23461806
Position Surface form Disambiguated ID Type / Status
Subject Nauta E568998 entity
Predicate isCapitalOf P204 FINISHED
Object Loreto 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: Loreto Province | Statement: [Nauta, isCapitalOf, Loreto Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loreto Province
Context triple: [Nauta, isCapitalOf, Loreto Province]
  • A. Loreto Province chosen
    Loreto Province is a large administrative division in northeastern Peru, known for its vast Amazon rainforest areas and river systems.
  • B. Vallegrande Province
    Vallegrande Province is an administrative province located within Bolivia’s Santa Cruz Department, known for its rural communities and historical association with Che Guevara.
  • C. Comunera Province
    Comunera Province is a historical region in Colombia known for its role in the 1781 Comuneros revolt against Spanish colonial rule.
  • D. Peravia Province
    Peravia Province is a coastal administrative region in the southern Dominican Republic known for its capital city Baní, agricultural production, and salt flats.
  • E. Lori Province
    Lori Province is a northern region of Armenia known for its mountainous landscapes, forests, and the city of Vanadzor as its regional center.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69bc200819096ed2baf25cdee4f completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:54 p.m.