Triple

T22143865
Position Surface form Disambiguated ID Type / Status
Subject Recife metropolitan region E547234 entity
Predicate hasMunicipality P847 FINISHED
Object Moreno 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: Moreno | Statement: [Recife metropolitan region, hasMunicipality, Moreno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moreno
Context triple: [Recife metropolitan region, hasMunicipality, Moreno]
  • A. Moreno chosen
    Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
  • B. Moreno
    Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
  • C. Sierra Esteban
    Sierra Esteban is a fictional character from the soap opera "As the World Turns," known primarily as a member of the extended Walsh family.
  • D. Santa Juana
    Santa Juana is a rural Chilean commune in the Biobío Region, known for its agricultural activities and location within the Gran Concepción metropolitan area.
  • E. Valle Grande
    Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129c045448190b3d189cdb8c0d2fd completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.