Triple

T22863981
Position Surface form Disambiguated ID Type / Status
Subject Lavra Funicular E567000 entity
Predicate connects P390 FINISHED
Object Largo da Anunciada 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: Largo da Anunciada | Statement: [Lavra Funicular, connects, Largo da Anunciada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Largo da Anunciada
Context triple: [Lavra Funicular, connects, Largo da Anunciada]
  • A. Largo da Anunciada chosen
    Largo da Anunciada is a public square in central Lisbon, Portugal, known as the lower terminus area of the historic Elevador do Lavra funicular.
  • B. Largo da Sé
    Largo da Sé is the historic main square of Faro’s Old Town in Portugal, known for its central role in the city’s religious and civic life.
  • C. Passeio Público
    Passeio Público was a historic public promenade and garden in central Lisbon that once occupied the area now taken by Avenida da Liberdade.
  • D. Largo dos Guimarães
    Largo dos Guimarães is a central square and social hub in Rio de Janeiro’s Santa Teresa neighborhood, known for its historic charm, bars, restaurants, and access to the iconic tram.
  • E. Largo da Oliveira
    Largo da Oliveira is a historic square in the medieval center of Guimarães, Portugal, known for its preserved architecture and role as a focal point of the city's UNESCO-listed old town.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eff1c18819081dc9dfc1816f746 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.