Triple

T29949100
Position Surface form Disambiguated ID Type / Status
Subject ATI Flipper E760720 entity
Predicate maxTextureLayers P168286 FINISHED
Object 8 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: 8 | Statement: [ATI Flipper, maxTextureLayers, 8]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maxTextureLayers
Context triple: [ATI Flipper, maxTextureLayers, 8]
  • A. typicalLayerCount
    Indicates the usual or standard number of layers associated with an entity.
  • B. maximumResolution
    Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
  • C. textureFeatures
    Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other entity.
  • D. usesTexture
    Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
  • E. textureRequirement
    Indicates that one entity specifies or imposes a required texture property or characteristic that another entity must satisfy.
  • 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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6780dd5d08190b1ef4e49405a5419 completed May 2, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
PDg Predicate description generation batch_69f67256d064819094be04fc1bbbc635 completed May 2, 2026, 9:53 p.m.
Created at: April 29, 2026, 6:25 p.m.