Triple

T10912053
Position Surface form Disambiguated ID Type / Status
Subject Fullerton station (Chicago "L") E257724 entity
Predicate servedByLine P1293 FINISHED
Object Red Line E15830 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: Red Line | Statement: [Fullerton station (Chicago "L"), servedByLine, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Line
Context triple: [Fullerton station (Chicago "L"), servedByLine, Red Line]
  • A. Red Line
    The Red Line is a regional express bus route operated under the SolanoExpress system, providing intercity transit service in Solano County and surrounding areas.
  • B. Red Line chosen
    The Red Line is a major rapid transit route in Chicago that runs north–south through the city, serving as one of the busiest lines in its subway and elevated rail system.
  • C. Red Line
    Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
  • D. Red Line
    Red Line is one of the main rapid transit routes of the Dubai Metro, running along key areas of the city and serving many of its major commercial and residential districts.
  • E. Red Line
    The Red Line is one of the main lines of the Lisbon Metro system, connecting key transport hubs and eastern districts of Portugal’s capital.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155550e388190bd441ac3a9dde435 completed April 16, 2026, 9:32 p.m.
Created at: April 8, 2026, 9:22 p.m.