Triple

T4381041
Position Surface form Disambiguated ID Type / Status
Subject Monte Carlo E99128 entity
Predicate contains P35 FINISHED
Object Le Grand Casino E99125 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: Le Grand Casino | Statement: [Monte Carlo, contains, Le Grand Casino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Grand Casino
Context triple: [Monte Carlo, contains, Le Grand Casino]
  • A. Casino
    "Casino" is a 1995 crime drama film directed by Martin Scorsese that explores the rise and fall of a Las Vegas casino boss and the mob's influence over the gambling industry.
  • B. Casino
    Casino is a town in northern New South Wales, Australia, known as a regional service centre and gateway to the surrounding agricultural and beef-producing areas.
  • C. Le Tote
    Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
  • D. Monte Carlo Casino chosen
    Monte Carlo Casino is a historic and opulent gambling and entertainment complex in Monaco, renowned for its grand architecture and association with luxury and high-stakes gaming.
  • E. Casino 2000
    Casino 2000 is a prominent entertainment complex in Mondorf-les-Bains, Luxembourg, featuring a casino, dining venues, and event spaces.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35243036481909fb0a001c3cb1ff2 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51ff9188190aa4581d451feaafd completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.