Triple

T3458113
Position Surface form Disambiguated ID Type / Status
Subject Sky Witness E72955 entity
Predicate operator P179 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 Witness, operator, Sky Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Group
Context triple: [Sky Witness, operator, 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. TAP Group
    TAP Group is the holding company that owns and oversees TAP Air Portugal and its related aviation and travel businesses.
  • D. 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.
  • E. Landbridge Group
    Landbridge Group is a Chinese privately owned conglomerate known for its controversial long-term lease of Australia's strategic Port of Darwin and its investments in energy, infrastructure, and logistics.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae36e748190bf20fd3c6de22e19 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b672133044819089d54cca5ed6a063 completed March 15, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:16 p.m.