Triple

T21375703
Position Surface form Disambiguated ID Type / Status
Subject Ponte dos Ingleses E527195 entity
Predicate isPartOf P10 FINISHED
Object Fortaleza waterfront 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: Fortaleza waterfront | Statement: [Ponte dos Ingleses, isPartOf, Fortaleza waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortaleza waterfront
Context triple: [Ponte dos Ingleses, isPartOf, Fortaleza waterfront]
  • A. Galeão Beach
    Galeão Beach is a coastal area in Rio de Janeiro, Brazil, historically significant as the namesake of the city’s main international airport.
  • B. Fortaleza chosen
    Fortaleza is a large coastal city in northeastern Brazil known for its beaches, tourism, and role as the capital of the state of Ceará.
  • C. Elizabeth City waterfront
    The Elizabeth City waterfront is a scenic riverfront district in northeastern North Carolina known for its welcoming small-town atmosphere, marinas, and boater-friendly amenities.
  • D. Largo São Francisco
    Largo São Francisco is a historic square in downtown São Paulo known for its traditional law school and colonial-era architecture.
  • E. Praia Formosa
    Praia Formosa is a popular sandy beach on Santa Maria Island in the Azores, known for its calm waters and scenic coastal setting.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bb031988190ae587730a2131a50 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:11 p.m.