Triple

T10564551
Position Surface form Disambiguated ID Type / Status
Subject North Lake College station E249313 entity
Predicate partOf P40 FINISHED
Object Orange Line (DART) E188122 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: Orange Line (DART) | Statement: [North Lake College station, partOf, Orange Line (DART)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Line (DART)
Context triple: [North Lake College station, partOf, Orange Line (DART)]
  • A. Orange Line (CTA)
    The Orange Line (CTA) is a rapid transit route in Chicago that connects the Loop with Midway International Airport and several Southwest Side neighborhoods.
  • B. Orange Line chosen
    The Orange Line is a light rail route in the Dallas Area Rapid Transit (DART) system serving key destinations including Dallas/Fort Worth International Airport and several northern suburbs.
  • C. Orange Line
    The Orange Line is one of the primary rapid transit routes in Montreal’s Metro system, running in a U-shaped corridor that connects several major residential and commercial districts across the city.
  • D. Orange Line
    The Orange Line is a rapid transit line in the Kaohsiung Mass Rapid Transit (KMRT) system in Kaohsiung, Taiwan.
  • E. Orange Line
    The Orange Line is one of the urban cable car routes in La Paz–El Alto’s Mi Teleférico transit system, known for its orange-branded gondolas connecting key areas of the cities.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272c32c48190a92c1dacd4deb9fe completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98832b97c8190a11246e087674e57 completed April 10, 2026, 11:30 p.m.
Created at: April 6, 2026, 12:36 p.m.