Triple

T579148
Position Surface form Disambiguated ID Type / Status
Subject Sky (UK and Ireland) E15019 entity
Predicate hasChannel P8080 FINISHED
Object Sky Max E72552 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: Sky Max | Statement: [Sky (UK and Ireland), hasChannel, Sky Max]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Max
Context triple: [Sky (UK and Ireland), hasChannel, Sky Max]
  • A. Sky Max chosen
    Sky Max is a British pay television channel from Sky that focuses on premium drama, comedy, and entertainment programming in the UK and Ireland.
  • B. Silver City
    Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
  • C. Swoop
    Swoop is the Philadelphia Eagles’ official bald eagle mascot, known for entertaining fans at games and team events.
  • D. La Rampa
    La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
  • E. Bootjack
    Bootjack is a small unincorporated community located in Mariposa County, California, near the Sierra Nevada foothills and the gateway to Yosemite National Park.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b6c358081908f458b9e3e208c0d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a508a025308190ac35a5e3606de4de completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.