Triple

T5315800
Position Surface form Disambiguated ID Type / Status
Subject Government Center Metrorail station E119143 entity
Predicate connectsTo P845 FINISHED
Object Omni Loop 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: Omni Loop Metromover | Statement: [Government Center Metrorail station, connectsTo, Omni Loop Metromover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omni Loop Metromover
Context triple: [Government Center Metrorail station, connectsTo, Omni Loop Metromover]
  • A. Metrorail
    Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • B. Metrorail
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • C. 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.
  • D. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • E. Detroit People Mover
    The Detroit People Mover is an elevated, automated light rail system that operates a single-loop route around downtown Detroit, Michigan.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854eb3248190b42a4b52f1c81bef completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.