Triple

T21833874
Position Surface form Disambiguated ID Type / Status
Subject Petrolina–Senador Nilo Coelho Airport E539068 entity
Predicate serves P98 FINISHED
Object Petrolina 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: Petrolina | Statement: [Petrolina–Senador Nilo Coelho Airport, serves, Petrolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrolina
Context triple: [Petrolina–Senador Nilo Coelho Airport, serves, Petrolina]
  • A. Petrolina chosen
    Petrolina is a major city in northeastern Brazil known for its irrigated fruit production and location along the São Francisco River.
  • B. Cariri
    Cariri is a microregion in the state of Ceará, Brazil, known for its cultural heritage, religious tourism, and distinctive semi-arid landscapes.
  • C. Cumbuco
    Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
  • D. Morada Nova
    Morada Nova is a municipality in the state of Ceará in northeastern Brazil, known for its agricultural activities and semi-arid landscape.
  • E. Pau dos Ferros
    Pau dos Ferros is a municipality in the interior of Brazil’s Rio Grande do Norte state, known as a regional commercial and educational hub in the Alto Oeste Potiguar region.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a5eeb88190b58b5b6d363cd6e3 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.