Triple

T683582
Position Surface form Disambiguated ID Type / Status
Subject Comcast E13233 entity
Predicate subsidiary P258 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: [Comcast, subsidiary, Sky Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Group
Context triple: [Comcast, subsidiary, 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. Nordwind Airlines
    Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
  • C. Arena Group
    Arena Group is a digital media company that owns and operates a portfolio of sports, lifestyle, and financial publications, including Sports Illustrated.
  • D. Aviall
    Aviall is an aviation parts and services company that operates as a subsidiary of Boeing, supplying aftermarket aircraft components and logistics support to the aerospace industry.
  • E. Aerostar Airport Holdings
    Aerostar Airport Holdings is a private company that manages and operates airport facilities, most notably Puerto Rico’s Luis Muñoz Marín International Airport, under a long-term public-private partnership.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a070d4c08190a510a8f9c1ae8076 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a743c08190be4db12e2ed39ffb completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.