Triple

T3987439
Position Surface form Disambiguated ID Type / Status
Subject Monte Carlo method E86905 entity
Predicate namedAfter P63 FINISHED
Object Monte Carlo E99128 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: Monte Carlo | Statement: [Monte Carlo method, namedAfter, Monte Carlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Carlo
Context triple: [Monte Carlo method, namedAfter, Monte Carlo]
  • A. Monte Carlo chosen
    Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
  • B. Langevin Block
    The Langevin Block is a historic federal government office building in Ottawa, Canada, that houses the Prime Minister’s Office and senior staff.
  • C. Simm
    Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
  • D. Manziana
    Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
  • E. de Mille
    De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9ff54708190be56f48569ce97a4 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402f72e8819097ce951aac465dc8 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.