Triple

T9021812
Position Surface form Disambiguated ID Type / Status
Subject Metro Busway E215742 entity
Predicate hasRouteDesignation P5539 FINISHED
Object G Line E770408 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: G Line | Statement: [Metro Busway, hasRouteDesignation, G Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G Line
Context triple: [Metro Busway, hasRouteDesignation, G Line]
  • A. G Line
    The G Line is a commuter rail service in the Denver metropolitan area that connects downtown Denver with western suburbs such as Arvada and Wheat Ridge.
  • B. G Line
    The G Line is a New York City Subway service that runs entirely within Brooklyn and Queens, connecting neighborhoods without entering Manhattan.
  • C. G Line chosen
    The G Line is a bus rapid transit route in Los Angeles that runs along the dedicated Metro Busway corridor in the San Fernando Valley.
  • D. E Line
    The E Line is a light rail route in the Los Angeles Metro Rail system that connects downtown Los Angeles with communities to the west, including Santa Monica.
  • E. E Line
    The E Line is a light rail service in the Denver metropolitan area that is part of the Regional Transportation District’s rail network.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb7a95a88190a41ba5549f2b2d5a completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:07 p.m.