Triple

T6316095
Position Surface form Disambiguated ID Type / Status
Subject Pascua Yaqui Tribe E141617 entity
Predicate operates P24 FINISHED
Object Casino of the Sun E584992 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: Casino of the Sun | Statement: [Pascua Yaqui Tribe, operates, Casino of the Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casino of the Sun
Context triple: [Pascua Yaqui Tribe, operates, Casino of the Sun]
  • A. Casino del Sol chosen
    Casino del Sol is a major resort and casino in Tucson, Arizona, featuring gaming, entertainment, dining, and hotel accommodations.
  • B. Perla casino
    Perla casino is a major entertainment and gaming complex in Nova Gorica, Slovenia, known for its large casino floor, hotel, and leisure facilities.
  • C. Casino 2000
    Casino 2000 is a prominent entertainment complex in Mondorf-les-Bains, Luxembourg, featuring a casino, dining venues, and event spaces.
  • D. Casino Ajax
    Casino Ajax is a gaming and entertainment venue located in Ajax, Ontario, offering slot machines, electronic table games, and related amenities.
  • E. Silver City
    Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a34e6081909b91984a3e815176 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040714988190abbbadb4039966ef completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:29 p.m.