Triple

T18156198
Position Surface form Disambiguated ID Type / Status
Subject Monte-Carlo Société des Bains de Mer E434636 entity
Predicate hasPart P35 FINISHED
Object Sun Casino 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: Sun Casino | Statement: [Monte-Carlo Société des Bains de Mer, hasPart, Sun Casino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Casino
Context triple: [Monte-Carlo Société des Bains de Mer, hasPart, Sun Casino]
  • A. Sun Casino chosen
    Sun Casino is a prominent gambling and entertainment venue located in Monte Carlo, Monaco, known for its upscale gaming rooms and luxurious atmosphere.
  • B. Southland Casino Hotel
    Southland Casino Hotel is a major gaming and entertainment complex featuring casino games, dining, and lodging in West Memphis, Arkansas.
  • C. Sky City Casino
    Sky City Casino is a Native American gaming and entertainment complex located on the Acoma Pueblo in New Mexico.
  • D. Grand Victoria Casino
    Grand Victoria Casino is a prominent riverboat casino and entertainment venue located on the Fox River in Elgin, Illinois.
  • E. Paragon Casino Resort
    Paragon Casino Resort is a Native American-owned casino and hotel complex in Louisiana featuring gaming, lodging, dining, and entertainment 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debe27a88190bd76c6f78fcf1bd1 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.