Triple

T95015
Position Surface form Disambiguated ID Type / Status
Subject Chicago Transit Authority E1910 entity
Predicate hasRailLine P848 FINISHED
Object Brown Line E15398 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: Brown Line | Statement: [Chicago Transit Authority, hasRailLine, Brown Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Line
Context triple: [Chicago Transit Authority, hasRailLine, Brown Line]
  • A. Orange Line
    The Orange Line is one of the primary rapid transit routes in the Washington Metro system, running east–west through Washington, D.C. and its Virginia and Maryland suburbs.
  • B. Orange Line
    The Orange Line is a rapid transit route in Chicago that connects the city's Loop with Midway International Airport as part of the Chicago "L" system.
  • C. Chicago "L" chosen
    The Chicago "L" is the elevated rapid transit system serving Chicago and some surrounding suburbs, known for its iconic above-ground tracks and extensive urban rail network.
  • D. Metra
    Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
  • E. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia suburbs.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a256a7957c8190bf9924eff7572b95 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a373691e348190b18f8019183469dc completed Feb. 28, 2026, 10:59 p.m.
Created at: Feb. 28, 2026, 2:09 a.m.