Triple

T13136727
Position Surface form Disambiguated ID Type / Status
Subject Inner Loop E312102 entity
Predicate system P730 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: [Inner Loop, system, Metromover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metromover
Context triple: [Inner Loop, system, 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b53fbc8190a0f209c32a00f6cb completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e295b3408190a7246115d3ee90e5 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:08 p.m.