Triple

T14422413
Position Surface form Disambiguated ID Type / Status
Subject KHTML E357615 entity
Predicate supportsStandard P1587 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: [KHTML, supportsStandard, PNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PNG
Context triple: [KHTML, supportsStandard, 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. PNG Air
    PNG Air is a Papua New Guinean domestic and regional airline headquartered in Port Moresby, operating scheduled passenger and cargo services across the country and nearby regions.
  • D. JPEG
    JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
  • E. PNGRFL
    PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.