Triple

T22721394
Position Surface form Disambiguated ID Type / Status
Subject G Line E561870 entity
Predicate connectsToService P845 FINISHED
Object R Line NE NERFINISHED

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: R Line | Statement: [G Line, connectsToService, R Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R Line
Context triple: [G Line, connectsToService, R Line]
  • A. R Line
    The R Line is a New York City Subway service that runs through Brooklyn, Queens, and Manhattan, connecting neighborhoods along a local route in the BMT Broadway Line corridor.
  • B. R Line chosen
    The R Line is a light rail service in the Denver metropolitan area that runs through Aurora and connects key transit hubs within the Regional Transportation District network.
  • C. S Line
    The S Line is a modern streetcar route in the Salt Lake City area that provides local transit service and links neighborhoods to the broader TRAX light rail network.
  • D. S Line
    The S Line is a route within the Sounder commuter rail system that provides passenger rail service in the Seattle metropolitan area.
  • E. L Line
    The L Line was a light rail route in the Los Angeles Metro Rail system that connected communities across the San Gabriel Valley and Eastside before being integrated into other lines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17911a4fc81908a125209aea77e22 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.