Triple

T24791637
Position Surface form Disambiguated ID Type / Status
Subject GTP E620265 entity
Predicate allowsManufacturerBodywork P153436 FINISHED
Object yes 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: yes | Statement: [GTP, allowsManufacturerBodywork, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsManufacturerBodywork
Context triple: [GTP, allowsManufacturerBodywork, yes]
  • A. bodyworkFeature
    Indicates a relationship where a vehicle or object possesses a specific characteristic or component of its external body structure.
  • B. bodyworkBy chosen
    Indicates that one entity performs, creates, or is responsible for the bodywork (such as physical treatment, structural work, or crafted body structure) of another entity.
  • C. hasBodyShop
    Indicates that one entity operates, owns, or is associated with an auto body repair shop.
  • D. carbodyMaterial
    Indicates the material from which a vehicle’s body or main structural shell is made.
  • E. allowsChassisSupplier
    Indicates that one entity grants permission or authorization for another entity to act as or use a specified chassis supplier.
  • 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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f5f6baf2d48190a6a4cd6501be87d2 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
Created at: April 18, 2026, 4:47 a.m.