Triple

T2528894
Position Surface form Disambiguated ID Type / Status
Subject METRO light rail E56106 entity
Predicate primaryColorDesignation P24916 FINISHED
Object Blue Line unclear NED1 NE FINISHED

How this triple was built (3 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: Blue Line | Statement: [METRO light rail, primaryColorDesignation, Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Line
Context triple: [METRO light rail, primaryColorDesignation, Blue Line]
  • A. Blue Line
    The Blue Line is a light rail route in the Dallas Area Rapid Transit (DART) system serving key neighborhoods and suburbs in the Dallas–Fort Worth metroplex.
  • B. 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.
  • C. Blue Line
    The Blue Line is one of Boston's MBTA rapid transit routes, running primarily between downtown Boston and the coastal communities of East Boston and Revere.
  • 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. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryColorDesignation
Context triple: [METRO light rail, primaryColorDesignation, Blue Line]
  • A. primaryColour chosen
    Indicates that one entity is the main or dominant color characteristic of another entity.
  • B. primaryColorPalette
    Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
  • C. primaryPigment
    Indicates that one pigment is the main or dominant colorant used or present in relation to another entity.
  • D. primaryWavelength
    Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
  • E. primaryVariant
    Indicates that one entity is the main or canonical version among multiple related variants of another entity.
  • F. None of above.

Provenance (4 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd25903f08190b46e12d32278daca completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66a2c588190874782f4565c0b60 completed March 10, 2026, 6:12 a.m.
PD Predicate disambiguation batch_69abd0c2e34c8190a914d5c2afba147c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.