Triple

T22643072
Position Surface form Disambiguated ID Type / Status
Subject Suape Complex Administration E558882 entity
Predicate basedIn P40 FINISHED
Object Suape 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: Suape | Statement: [Suape Complex Administration, basedIn, Suape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suape
Context triple: [Suape Complex Administration, basedIn, Suape]
  • A. Saquarema
    Saquarema is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches and strong surfing culture.
  • B. Port of Salvador
    The Port of Salvador is a major Brazilian seaport and cargo hub on the Atlantic coast, serving as a key gateway for trade in northeastern Brazil.
  • C. Aquiraz
    Aquiraz is a coastal municipality in the Brazilian state of Ceará known for its beaches, historical colonial architecture, and tourism attractions.
  • D. Jaboatão dos Guararapes chosen
    Jaboatão dos Guararapes is a major coastal city in northeastern Brazil known for its historical significance in the Dutch-Portuguese conflicts and its integration into the metropolitan area of Recife.
  • E. Barreirinhas
    Barreirinhas is a Brazilian town best known as the main gateway to the Lençóis Maranhenses National Park, famous for its vast white sand dunes and seasonal blue lagoons.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703577948190ae044df4f8500bfe completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:04 p.m.