Triple

T13388676
Position Surface form Disambiguated ID Type / Status
Subject TUI Arena E319510 entity
Predicate namedAfter P63 FINISHED
Object TUI Group E16522 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: TUI Group | Statement: [TUI Arena, namedAfter, TUI Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUI Group
Context triple: [TUI Arena, namedAfter, TUI Group]
  • A. TUI Group (historical)
    TUI Group (historical) was a major European tourism and travel conglomerate that owned and operated various airlines, tour operators, and travel agencies before its later restructuring and rebranding.
  • B. TUI Airways chosen
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • 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. FirstGroup
    FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.