Triple

T6065424
Position Surface form Disambiguated ID Type / Status
Subject Ilha do Zeca (Imbiribeira) E135146 entity
Predicate partOf P40 FINISHED
Object Imbiribeira E135139 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: Imbiribeira | Statement: [Ilha do Zeca (Imbiribeira), partOf, Imbiribeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imbiribeira
Context triple: [Ilha do Zeca (Imbiribeira), partOf, Imbiribeira]
  • A. Imbiribeira chosen
    Imbiribeira is a neighborhood in the South Zone of Recife, Brazil, known for its residential areas, commercial activity, and proximity to the city’s main sports and event venues.
  • B. Reritiba
    Reritiba is a historic locality in Brazil, known as the place where the Jesuit missionary and saint José de Anchieta died.
  • C. Itabaiana
    Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
  • D. Beberibe River
    The Beberibe River is a waterway in northeastern Brazil that flows through the city of Recife, contributing to its estuarine landscape and urban geography.
  • E. Ribeirinha
    Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0573df7508190bbb5b496188b2f3e completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d23dca8819080702ca0f05df5dd completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.