Triple

T9712402
Position Surface form Disambiguated ID Type / Status
Subject Eye of MATE Image Viewer E235051 entity
Predicate supportsFormat P203 FINISHED
Object PNG E618924 NE 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: PNG | Statement: [Eye of MATE Image Viewer, supportsFormat, PNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PNG
Context triple: [Eye of MATE Image Viewer, supportsFormat, PNG]
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. PNG chosen
    PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
  • C. JPEG
    JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
  • D. PNGRFL
    PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
  • E. GIF
    GIF (Graphics Interchange Format) is a widely used bitmap image format best known for supporting simple animations and lossless compression with a limited color palette.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0705f8819095852263009c28c5 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.