Triple

T12192082
Position Surface form Disambiguated ID Type / Status
Subject Adidas Krasava E290486 entity
Predicate bladderMaterial P1272 FINISHED
Object butyl bladder 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: butyl bladder | Statement: [Adidas Krasava, bladderMaterial, butyl bladder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bladderMaterial
Context triple: [Adidas Krasava, bladderMaterial, butyl bladder]
  • A. materialUsed chosen
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • B. featuresMaterialFrom
    Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
  • C. usesMaterialBy
    Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
  • D. tentMaterial
    Indicates the material from which a tent is made or constructed.
  • E. hasBedMaterial
    Indicates that one entity has, contains, or is characterized by a particular bed material (e.g., the substance forming the base or bedding of that entity).
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.