Triple

T4692137
Position Surface form Disambiguated ID Type / Status
Subject Belém railway station E104056 entity
Predicate adjacentTo P224 FINISHED
Object Belém waterfront E460993 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: Belém waterfront | Statement: [Belém railway station, adjacentTo, Belém waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belém waterfront
Context triple: [Belém railway station, adjacentTo, Belém waterfront]
  • A. Belém riverside chosen
    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. Brazilian Venice
    Brazilian Venice is a popular nickname for Recife, a coastal Brazilian city known for its many rivers, bridges, and canals.
  • C. Rodrigo de Freitas Lagoon
    Rodrigo de Freitas Lagoon is a scenic urban lagoon in Rio de Janeiro, Brazil, famed for its recreational paths, rowing activities, and views of surrounding landmarks like Christ the Redeemer.
  • D. Ipanema Beach
    Ipanema Beach is a famous and fashionable stretch of sand in Rio de Janeiro, Brazil, renowned for its vibrant beach culture, scenic views, and influence on music and popular culture.
  • E. RIOgaleão
    RIOgaleão is the private concessionaire responsible for managing and operating Rio de Janeiro–Galeão International Airport in Brazil.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd639c94608190808e535d0abd08a0 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39d43ffc8190b1e6caf34d5eaf0d completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:16 p.m.