Triple

T1108848
Position Surface form Disambiguated ID Type / Status
Subject Tin Lizzie E25545 entity
Predicate associatedWithSteeringPosition P19324 FINISHED
Object left-hand drive 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: left-hand drive | Statement: [Tin Lizzie, associatedWithSteeringPosition, left-hand drive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithSteeringPosition
Context triple: [Tin Lizzie, associatedWithSteeringPosition, left-hand drive]
  • A. steeringType chosen
    Indicates the kind or mechanism of steering control used to direct the movement of an entity.
  • B. associatedWithMovement
    Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
  • C. relativePositionOnCourse
    Indicates the positional relationship of one participant or object relative to another along a defined course or route.
  • D. appliesToPosition
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
  • E. associatedWithFlag
    Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b749e2a881909ef28745a7d2d917 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.