Triple

T12727298
Position Surface form Disambiguated ID Type / Status
Subject Elevador Lacerda E304139 entity
Predicate connects P390 FINISHED
Object lower city of Salvador E62572 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: lower city of Salvador | Statement: [Elevador Lacerda, connects, lower city of Salvador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lower city of Salvador
Context triple: [Elevador Lacerda, connects, lower city of Salvador]
  • A. Salvador, Bahia, Brazil chosen
    Salvador, the capital of Brazil’s Bahia state, is a major coastal city known for its Afro-Brazilian culture, colonial architecture, and historic role as the country’s first capital.
  • B. Salvador
    "Salvador" is a 1986 political drama film directed by Oliver Stone, in which James Woods delivers an acclaimed performance as a cynical journalist covering the Salvadoran Civil War.
  • C. Salvador
    Salvador is a historic coastal city in northeastern Brazil known for its Afro-Brazilian culture, colonial architecture, and vibrant Carnival celebrations.
  • D. Salvador
    Salvador is a metro station on Line 1 of the Santiago Metro in Santiago, Chile.
  • E. Salvador
    Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.