Triple

T16152375
Position Surface form Disambiguated ID Type / Status
Subject Eastside Extension corridor E391944 entity
Predicate carriesService P17741 FINISHED
Object Metro Rail E38551 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: Metro Rail | Statement: [Eastside Extension corridor, carriesService, Metro Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Rail
Context triple: [Eastside Extension corridor, carriesService, Metro Rail]
  • A. Metro Rail chosen
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • B. Metro Rail
    Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
  • C. Metro Trains
    Metro Trains is a suburban passenger rail service brand operating the metropolitan train network in Melbourne, Australia.
  • D. Metrorail
    Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • E. Metrorail
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d98d08c8190a15d4aee40d47220 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef2f49081909841a1f9bfbd622b completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:01 a.m.