Triple

T23218680
Position Surface form Disambiguated ID Type / Status
Subject South Zone of Recife E580821 entity
Predicate contains P35 FINISHED
Object Pina neighborhood 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: Pina neighborhood | Statement: [South Zone of Recife, contains, Pina neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pina neighborhood
Context triple: [South Zone of Recife, contains, Pina neighborhood]
  • A. Pina neighborhood chosen
    Pina neighborhood is a coastal district in Recife, Brazil, known for its urban beach, commercial activity, and proximity to the city’s central and seaside areas.
  • B. Tororó neighborhood
    Tororó neighborhood is a district in Salvador, Brazil, known for encompassing the historic Dique do Tororó lake and its surrounding urban area.
  • C. Reñaca neighborhood
    Reñaca neighborhood is a popular coastal district of Viña del Mar, Chile, known for its beaches, nightlife, and high-rise seaside apartments.
  • D. Pena neighborhood
    Pena neighborhood is a historic residential area in central Lisbon known for its traditional architecture, steep streets, and proximity to many of the city’s main attractions.
  • E. Nestor neighborhood
    Nestor neighborhood is a residential community in the southern part of San Diego, California, near the U.S.–Mexico border.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191675de48190858907872a065c56 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.