Triple

T13780286
Position Surface form Disambiguated ID Type / Status
Subject Sky Studios E331114 entity
Predicate partOf P40 FINISHED
Object Sky Group E72564 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 Group | Statement: [Sky Studios, partOf, Sky Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Group
Context triple: [Sky Studios, partOf, Sky Group]
  • A. Sky Group chosen
    Sky Group is a major European media and telecommunications conglomerate best known for its satellite television, broadband, and streaming services.
  • B. SkyUp Airlines
    SkyUp Airlines is a Ukrainian low-cost carrier known for operating domestic and international flights across Europe, the Middle East, and other regions.
  • C. Avios Group
    Avios Group is a travel rewards company that manages the Avios loyalty currency used by several international airlines and partners for earning and redeeming points.
  • D. TAP Group
    TAP Group is the holding company that owns and oversees TAP Air Portugal and its related aviation and travel businesses.
  • E. Travelers Group
    Travelers Group was a major American financial services conglomerate that became best known for its landmark 1998 merger with Citicorp to form Citigroup.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d4af2081909628c1691e073f6f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.