Triple

T33045200
Position Surface form Disambiguated ID Type / Status
Subject Frank Williams Racing Cars E845574 entity
Predicate hasChassisConstructorRole P196221 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: [Frank Williams Racing Cars, hasChassisConstructorRole, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChassisConstructorRole
Context triple: [Frank Williams Racing Cars, hasChassisConstructorRole, yes]
  • A. hasChassisType
    Indicates that an entity is associated with or equipped with a specific type of chassis.
  • B. chassisConstruction
    Indicates how the chassis of an object is built or assembled, specifying the construction method or structural design used.
  • C. usedChassisFor
    Indicates that one entity employed or incorporated another entity’s chassis as the structural base or framework for its construction or operation.
  • D. allowsChassisSupplier
    Indicates that one entity grants permission or authorization for another entity to act as or use a specified chassis supplier.
  • E. chassis
    Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
  • 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_69f3495242e48190996a2cb2beab5455 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe163a41a0819098403b470e327d29 completed May 8, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fe1358db5c819092570814a37ef5bd completed May 8, 2026, 4:46 p.m.
PDg Predicate description generation batch_69fe1639613c8190aaf1b4c8e2d861ba completed May 8, 2026, 4:58 p.m.
Created at: May 1, 2026, 1:24 a.m.