Triple

T19964446
Position Surface form Disambiguated ID Type / Status
Subject Bica E479892 entity
Predicate near P350 FINISHED
Object Cais do Sodré 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: Cais do Sodré | Statement: [Bica, near, Cais do Sodré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cais do Sodré
Context triple: [Bica, near, Cais do Sodré]
  • A. Cais do Sodré chosen
    Cais do Sodré is a central Lisbon neighborhood and transport hub known for its riverside location, nightlife, and connections by train, metro, ferry, and bus.
  • B. Marina da Glória
    Marina da Glória is a prominent marina and event venue on Rio de Janeiro’s waterfront, known for its scenic views of Guanabara Bay and the city’s landmarks.
  • C. Vasco da Gama Square
    Vasco da Gama Square is a popular seaside promenade and tourist spot in Fort Kochi, Kerala, known for its views of Chinese fishing nets, street food stalls, and cultural events.
  • D. Cais das Colunas
    Cais das Colunas is a historic riverside quay on Lisbon’s Praça do Comércio, marked by two iconic stone columns descending into the Tagus River and serving as a traditional gateway to the city.
  • E. Cais do Sodré ferry terminal
    Cais do Sodré ferry terminal is a major riverside transport hub in Lisbon, Portugal, providing commuter and tourist ferry connections across the Tagus River.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc4417c8190912f3d85fd7a5a32 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.