Triple

T24928423
Position Surface form Disambiguated ID Type / Status
Subject PNG E618924 entity
Predicate supportsInterlacing P164767 FINISHED
Object Adam7 interlacing NE NERFINISHED

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: Adam7 interlacing | Statement: [PNG, supportsInterlacing, Adam7 interlacing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsInterlacing
Context triple: [PNG, supportsInterlacing, Adam7 interlacing]
  • A. supportsInterlacedVideo
    Indicates that an entity is capable of handling, processing, or displaying interlaced video signals.
  • B. supportsInterlacedCompositeArtifacts
    Indicates that one entity provides compatibility with or functionality for handling interlaced composite artifacts associated with another entity.
  • C. supportsNonInterlacedModes
    Indicates that an entity is capable of handling or operating with non-interlaced (progressive) display modes.
  • D. interlaced
    Indicates that two or more things are intricately intertwined or alternated with each other in a closely connected pattern.
  • E. supportsColorSampling
    Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
  • 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_69e2fab9edd88190b86004a78a28bc20 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f650fc44e48190bc0e0a935eac62a6 completed May 2, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69f64cab1f648190a2a9460690d18a37 completed May 2, 2026, 7:12 p.m.
PDg Predicate description generation batch_69f650c466b881908954e43bfebae8a4 completed May 2, 2026, 7:30 p.m.
Created at: April 18, 2026, 5:29 a.m.