Triple

T22642274
Position Surface form Disambiguated ID Type / Status
Subject Marco Zero waterfront square E558859 entity
Predicate near P350 FINISHED
Object Recife harbor 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: Recife harbor | Statement: [Marco Zero waterfront square, near, Recife harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recife harbor
Context triple: [Marco Zero waterfront square, near, Recife harbor]
  • A. Recife waterfront
    The Recife waterfront is a scenic coastal area in Recife, Brazil, known for its beaches, promenades, and views of the Atlantic Ocean.
  • 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. Port of Belém
    The Port of Belém is a major Brazilian river-sea port in the Amazon region, serving as a key hub for regional trade and passenger transport near the mouth of the Amazon River.
  • D. Porto do Recife chosen
    Porto do Recife is the historic seaport of Recife, Brazil, serving as a key hub for maritime trade and tourism in the city’s old town district.
  • E. Porto das Dunas
    Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
  • 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_69f1703489a48190bd97a7eb7a571b64 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:04 p.m.