Triple

T13208347
Position Surface form Disambiguated ID Type / Status
Subject Brickell Loop E314422 entity
Predicate transitSystem P1288 FINISHED
Object Metromover 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 | Statement: [Brickell Loop, transitSystem, Metromover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metromover
Context triple: [Brickell Loop, transitSystem, Metromover]
  • 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. Santiago Metro
    Santiago Metro is the rapid transit system serving Chile's capital, known as one of Latin America’s largest and most extensive urban rail networks.
  • C. Caracas Metro
    The Caracas Metro is the rapid transit system serving Venezuela's capital, providing high-capacity urban rail transportation across the metropolitan area.
  • D. Rio Metro
    Rio Metro is the public transportation brand serving the Albuquerque metropolitan area and surrounding communities in central New Mexico, providing commuter rail and bus services.
  • E. TransMilenio bus rapid transit
    TransMilenio bus rapid transit is Bogotá’s high-capacity, bus-based mass transit system known for its dedicated lanes, large articulated buses, and station-based fare collection designed to improve urban mobility.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3017bc8190b5481bf02684e861 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:17 p.m.