Triple

T11880020
Position Surface form Disambiguated ID Type / Status
Subject MGM Cotai E282629 entity
Predicate hasCasinoLicense P12714 FINISHED
Object yes LITERAL 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: yes | Statement: [MGM Cotai, hasCasinoLicense, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCasinoLicense
Context triple: [MGM Cotai, hasCasinoLicense, yes]
  • A. hasCasino
    Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
  • B. gamingLicenseIssuer
    Indicates the authority or entity that grants or issues a gaming license to another party.
  • C. hasGamingLicenseJurisdiction
    Indicates that an entity holds legal authority or permission to conduct gaming activities within a specified jurisdiction.
  • D. hasLicense chosen
    Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
  • E. majorCasinoOperatorPresence
    Indicates that a major casino operator has an established operational or business presence in relation to the referenced entity or location.
  • F. None of above.

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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb272f88819090c37c944c5a60ab completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.