Triple

T3597666
Position Surface form Disambiguated ID Type / Status
Subject CTA Pink Line E76177 entity
Predicate connectsWith P37 FINISHED
Object Purple Line E18256 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: Purple Line | Statement: [CTA Pink Line, connectsWith, Purple Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Line
Context triple: [CTA Pink Line, connectsWith, Purple Line]
  • A. Purple Line
    The Purple Line is a major rapid transit corridor of Bengaluru’s Namma Metro system, connecting key residential and commercial areas across the city.
  • B. Purple Line chosen
    The Purple Line is a rapid transit route in Chicago's 'L' system that primarily serves the city's northern suburbs and connects them to the North Side of Chicago.
  • C. Blue Line
    The Blue Line is a major rapid transit route in Chicago that runs between O'Hare International Airport and the city's western suburbs via downtown.
  • D. Blue Line
    The Blue Line is one of the main lines of the Lisbon Metro system, serving key central and northern areas of Portugal’s capital city.
  • E. Blue Line
    The Blue Line is one of the primary routes of the MetroLink light rail system serving the St. Louis metropolitan area.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19c71608190a87c98214321214c completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336104a081908c5f07e8b4d22c58 completed March 14, 2026, 10:07 a.m.
Created at: March 8, 2026, 3:22 p.m.