Triple

T17812909
Position Surface form Disambiguated ID Type / Status
Subject Leoncio Prado Province E444757 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Tingo María 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: Tingo María | Statement: [Leoncio Prado Province, hasMunicipalSeat, Tingo María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tingo María
Context triple: [Leoncio Prado Province, hasMunicipalSeat, Tingo María]
  • A. Tingo María chosen
    Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
  • B. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • C. Manuel Cajuda
    Manuel Cajuda is a Portuguese football manager known for coaching several Primeira Liga clubs and achieving notable domestic and European campaigns.
  • D. Simón
    Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
  • E. Simón
    Simón is the young adopted boy whose mysterious behavior and disappearance drive the central horror and emotional tension in the Spanish film "The Orphanage."
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887c63608190b29a407cabff0bc5 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.