Triple

T8771102
Position Surface form Disambiguated ID Type / Status
Subject 71-619 E208462 entity
Predicate hasRunningGear P85303 FINISHED
Object two bogies 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: two bogies | Statement: [71-619, hasRunningGear, two bogies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRunningGear
Context triple: [71-619, hasRunningGear, two bogies]
  • A. equippedFor
    Indicates that one entity is suitably provided with the necessary tools, features, or capabilities to perform a particular function or handle a specific situation for another entity or purpose.
  • B. hasPedal
    Indicates that one entity possesses or is equipped with a pedal or pedals used for operation or control.
  • C. hasGadget
    Indicates that an entity possesses, uses, or is equipped with a particular gadget.
  • D. usesEquipment
    Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
  • E. gear
    Indicates that one entity functions as a gear or toothed mechanical component that transmits motion or force to 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cfddef48190aee764ee7b25bae9 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:41 p.m.