Triple

T19971182
Position Surface form Disambiguated ID Type / Status
Subject Team Finland at the Olympic Games E480076 entity
Predicate hasNationalAnthem P249 FINISHED
Object Maamme 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: Maamme | Statement: [Team Finland at the Olympic Games, hasNationalAnthem, Maamme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maamme
Context triple: [Team Finland at the Olympic Games, hasNationalAnthem, Maamme]
  • A. Maamme chosen
    Maamme is the national anthem of Finland, known for its patriotic lyrics and prominent role in Finnish national ceremonies and sporting events.
  • B. La MaMa
    La MaMa is a renowned Off-Off-Broadway experimental theater in New York City known for fostering avant-garde performance and emerging artists.
  • C. Les Muma
    Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
  • D. Mamatid
    Mamatid is a barangay in Cabuyao, Laguna, Philippines, known for hosting the southern terminus of the PNR Metro Commuter Line.
  • E. La Mamma
    La Mamma is a popular French stage comedy by playwright André Roussin, known for its humorous portrayal of an overbearing Italian mother and family dynamics.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc9694881909a31841702ab9e5f completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.