Triple

T23276116
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Region of Fortaleza E588722 entity
Predicate hasMunicipality P847 FINISHED
Object Horizonte 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: Horizonte | Statement: [Metropolitan Region of Fortaleza, hasMunicipality, Horizonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horizonte
Context triple: [Metropolitan Region of Fortaleza, hasMunicipality, Horizonte]
  • A. Horizonte chosen
    Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
  • B. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • C. Tianguá
    Tianguá is a municipality in northeastern Brazil known for its location in the highlands of the state of Ceará and its role as a regional commercial and agricultural center.
  • D. Terrasur
    Terrasur is a Chilean intercity passenger rail service operated under the state-owned railway company Empresa de los Ferrocarriles del Estado (EFE).
  • E. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19577841481909acc17bb565bae5c completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:48 p.m.