Triple

T22923565
Position Surface form Disambiguated ID Type / Status
Subject Lake Street branch E569229 entity
Predicate servedBy P82 FINISHED
Object Green Line trains 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: Green Line trains | Statement: [Lake Street branch, servedBy, Green Line trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line trains
Context triple: [Lake Street branch, servedBy, Green Line trains]
  • A. Blue Line trains
    Blue Line trains are rapid transit trains operating on the MBTA’s Blue Line in the Boston metropolitan area, connecting downtown Boston with East Boston and surrounding coastal neighborhoods.
  • B. Green Line chosen
    The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
  • C. Green Line
    The Green Line is one of the main corridors of the Hyderabad Metro rapid transit system, serving key areas of the city along its north–south axis.
  • D. Green Line
    The Green Line is a MAX Light Rail service route in the Portland metropolitan area, identified by its green color designation.
  • E. Green Line
    The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d7973c8190b09a5690fd1d3f28 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.