Triple

T22239237
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 150 E549675 entity
Predicate prototypeUnits P146864 FINISHED
Object Class 150/0 NE NERFINISHED

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: Class 150/0 | Statement: [British Rail Class 150, prototypeUnits, Class 150/0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Class 150/0
Context triple: [British Rail Class 150, prototypeUnits, Class 150/0]
  • A. Class 150/0 chosen
    Class 150/0 is a specific early-build variant of the British Rail Class 150 diesel multiple units, introduced in the 1980s for regional and commuter rail services in the UK.
  • B. Class 150/1
    Class 150/1 is a subclass of the British Rail Class 150 diesel multiple units, distinguished by its specific interior layout and configuration for regional passenger services.
  • C. Class 150/2
    Class 150/2 is a subclass of the British Rail Class 150 diesel multiple units, built for regional and commuter services on the UK rail network.
  • D. Class 165/1
    Class 165/1 is a subseries of British diesel multiple-unit commuter trains designed for regional and suburban passenger services in the UK.
  • E. Class 700/1
    Class 700/1 is a subseries of the British Rail Class 700 electric multiple units, built for high-capacity commuter services on the Thameslink network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prototypeUnits
Context triple: [British Rail Class 150, prototypeUnits, Class 150/0]
  • A. numberOfUnits
    Indicates the quantity or count of discrete units associated with an entity or relationship.
  • B. componentUnit
    Indicates that one entity functions as a constituent or sub-unit that forms part of a larger composite entity.
  • C. coreUnitType
    Indicates that one entity is classified as the primary or fundamental type/category to which another entity (a core unit) belongs.
  • D. definesUnit
    Indicates that one entity specifies the measurement unit or standard by which the value or quantity of another entity is expressed.
  • E. basedUnit
    Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
  • F. None of above. chosen

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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132123a048190ba5a90d7acb9aeb2 completed April 28, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69e71b5177d881908f90abde14ada7dc completed April 21, 2026, 6:38 a.m.
PDg Predicate description generation batch_69e7222e74248190a2d3671049f117f2 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:38 p.m.