Triple

T11638129
Position Surface form Disambiguated ID Type / Status
Subject Regional Transportation District E276578 entity
Predicate brandName P1500 FINISHED
Object RTD E276578 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: RTD | Statement: [Regional Transportation District, brandName, RTD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTD
Context triple: [Regional Transportation District, brandName, RTD]
  • A. RTD chosen
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • B. RTD
    RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
  • C. RTD
    RTD is the commonly used abbreviation for the ASME Rail Transportation Division, a professional group focused on rail engineering and technology within the American Society of Mechanical Engineers.
  • D. DG RTD
    DG RTD is the European Commission’s Directorate-General responsible for EU policy on research, science, and innovation.
  • E. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef137087248190bb6c196bc94eb0f6 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.