Triple

T36960475
Position Surface form Disambiguated ID Type / Status
Subject Heavy Cannon E914293 entity
Predicate hasZoomCapability P57608 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: [Heavy Cannon, hasZoomCapability, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasZoomCapability
Context triple: [Heavy Cannon, hasZoomCapability, yes]
  • A. hasDigitalFocus
    Indicates that an entity is primarily oriented toward or centered on digital technologies, channels, or activities.
  • B. hasCameraResolution
    Indicates that an entity is associated with a specific camera resolution value or specification.
  • C. hasPhotoFeature chosen
    Indicates that an entity possesses a characteristic, capability, or option specifically related to photos or photography.
  • D. telephotoOpticalZoom
    Indicates that the relationship involves zooming in optically with a telephoto lens to magnify a subject without digital enlargement.
  • E. digitalZoom
    Indicates that an image or video is magnified by digitally enlarging pixels rather than by using optical lens adjustment.
  • 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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa0a7b00948190a257273d9968c5d7 completed May 5, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f9fec9c9488190ae2a349651a02782 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:13 p.m.