Triple

T23276126
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Region of Fortaleza E588722 entity
Predicate hasMunicipality P847 FINISHED
Object Itapipoca 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: Itapipoca | Statement: [Metropolitan Region of Fortaleza, hasMunicipality, Itapipoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itapipoca
Context triple: [Metropolitan Region of Fortaleza, hasMunicipality, Itapipoca]
  • A. Itapipoca chosen
    Itapipoca is a municipality in the northeastern Brazilian state of Ceará, known for its diverse landscapes that include beaches, mountains, and semi-arid hinterlands.
  • B. Itapecuru-Mirim
    Itapecuru-Mirim is a municipality in the Brazilian state of Maranhão, known for its historical colonial architecture and its location along the Itapecuru River.
  • C. Ipojuca
    Ipojuca is a coastal municipality in northeastern Brazil known for its tourism-driven economy and famous beaches such as Porto de Galinhas.
  • D. Campo Maior
    Campo Maior is a municipality in the Brazilian state of Piauí, known historically for its role in regional conflicts and its cultural traditions.
  • E. Campo Maior
    Campo Maior is a historic town in Portugal’s Alentejo region, known for its coffee industry and colorful Flower Festival.
  • 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.