Triple

T19158037
Position Surface form Disambiguated ID Type / Status
Subject National Museum of Archaeology E468976 entity
Predicate adjacentTo P224 FINISHED
Object Belém 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: Belém waterfront | Statement: [National Museum of Archaeology, adjacentTo, Belém waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belém waterfront
Context triple: [National Museum of Archaeology, adjacentTo, Belém waterfront]
  • A. Belém riverside
    Belém riverside is a scenic waterfront area in Lisbon’s Belém district, known for its historic monuments, museums, and views along the Tagus River.
  • B. Pirajá
    Pirajá is a neighborhood in Salvador, Bahia, Brazil, historically notable as a key site in Brazil’s struggle for independence.
  • C. Port of Belém chosen
    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. Rio de Janeiro waterfront
    The Rio de Janeiro waterfront is the scenic coastal area of the city known for its iconic beaches, bayside views, and proximity to major urban landmarks.
  • E. Brazilian Venice
    Brazilian Venice is a popular nickname for Recife, a coastal Brazilian city known for its many rivers, bridges, and canals.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeba91a081909c04d61d6117da06 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.