Triple

T3674530
Position Surface form Disambiguated ID Type / Status
Subject Government Center (Miami) E77958 entity
Predicate partOf P40 FINISHED
Object Metromover Omni Loop E79311 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: Metromover Omni Loop | Statement: [Government Center (Miami), partOf, Metromover Omni Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metromover Omni Loop
Context triple: [Government Center (Miami), partOf, Metromover Omni Loop]
  • A. Metromover chosen
    Metromover is a free, automated people mover system in Miami that operates elevated trains to connect key areas of the city’s urban core.
  • B. Metrovías
    Metrovías is an Argentine private company that operated and managed public transportation services in Buenos Aires, including the city’s underground metro system, for many years.
  • C. Metrorail
    Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • D. Metrorail
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • E. Caracas Metro
    The Caracas Metro is the rapid transit system serving Venezuela's capital, providing high-capacity urban rail transportation across the metropolitan area.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4619cf08190a09a4a820c59cbc4 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde628c08190adc058d8d35a5e5d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:25 p.m.