Triple

T3117493
Position Surface form Disambiguated ID Type / Status
Subject Lajes Airport E65096 entity
Predicate cityServed P82 FINISHED
Object Angra do Heroísmo E64618 NE FINISHED

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: Angra do Heroísmo | Statement: [Lajes Airport, cityServed, Angra do Heroísmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angra do Heroísmo
Context triple: [Lajes Airport, cityServed, Angra do Heroísmo]
  • A. Angra do Heroísmo chosen
    Angra do Heroísmo is a historic coastal city on Terceira Island in the Azores, renowned for its well-preserved Renaissance architecture and UNESCO-listed old town.
  • B. Forte dos Reis Magos
    Forte dos Reis Magos is a 16th-century star-shaped coastal fortress in Natal, Brazil, built by the Portuguese to defend the region and considered the city’s founding landmark.
  • C. Torre do Pinhão
    Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
  • D. Urca
    Urca is a picturesque, upscale seaside neighborhood in Rio de Janeiro, Brazil, known for its tranquil streets, historic architecture, and scenic views of Guanabara Bay.
  • E. Alcântara
    Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e73cc88190846ef37ccf1a0de7 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.