Triple

T3273470
Position Surface form Disambiguated ID Type / Status
Subject Blasco Núñez Vela E68703 entity
Predicate deathPlace P21 FINISHED
Object Añaquito E301926 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: Añaquito | Statement: [Blasco Núñez Vela, deathPlace, Añaquito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Añaquito
Context triple: [Blasco Núñez Vela, deathPlace, Añaquito]
  • A. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • B. Tumebamba
    Tumebamba was a prominent Inca imperial city in the northern highlands, serving as a key administrative and ceremonial center in what is now southern Ecuador.
  • C. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • D. Gualaquiza chosen
    Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
  • E. Achacachi
    Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff74af88190809313743b439ff0 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3c764548190ac3c90da3763ac62 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.