Triple

T30799024
Position Surface form Disambiguated ID Type / Status
Subject T-bucket E784313 entity
Predicate typicalChassis P62065 FINISHED
Object custom-built frame LITERAL 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: custom-built frame | Statement: [T-bucket, typicalChassis, custom-built frame]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalChassis
Context triple: [T-bucket, typicalChassis, custom-built frame]
  • A. supportsChassisType
    Indicates that one entity is compatible with and can be used to support or accommodate a specified chassis type.
  • B. chassis
    Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
  • C. chassisConstruction chosen
    Indicates how the chassis of an object is built or assembled, specifying the construction method or structural design used.
  • D. chassisFeature
    Indicates that a particular feature, component, or characteristic is part of or associated with a chassis.
  • E. chassisMaterialFeature
    Indicates that an entity has a chassis characterized by a specific material-related feature or property.
  • F. None of above.

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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e2fac0819089b522db3260028c completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 8:42 p.m.