Triple

T18673678
Position Surface form Disambiguated ID Type / Status
Subject SkyCity Entertainment Group E456544 entity
Predicate brand P1500 FINISHED
Object SkyCity NE NERFINISHED

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: SkyCity | Statement: [SkyCity Entertainment Group, brand, SkyCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyCity
Context triple: [SkyCity Entertainment Group, brand, SkyCity]
  • A. SkyCity
    SkyCity is a major commercial and entertainment complex adjacent to Hong Kong International Airport, featuring retail, dining, leisure, and business facilities for travelers and visitors.
  • B. Sky City Casino
    Sky City Casino is a Native American gaming and entertainment complex located on the Acoma Pueblo in New Mexico.
  • C. SkyCity Entertainment Group chosen
    SkyCity Entertainment Group is a New Zealand-based casino and entertainment company that operates major gaming, hospitality, and tourism complexes, including Auckland’s landmark SkyCity precinct.
  • D. Sun Casino
    Sun Casino is a prominent gambling and entertainment venue located in Monte Carlo, Monaco, known for its upscale gaming rooms and luxurious atmosphere.
  • E. SkyCity Auckland
    SkyCity Auckland is a major entertainment complex in central Auckland, New Zealand, featuring the Sky Tower, a casino, hotels, restaurants, and event facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b41cd881908f37bf7c85e96559 completed April 19, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:48 a.m.