Triple

T2705690
Position Surface form Disambiguated ID Type / Status
Subject Canada women's national soccer team E59335 entity
Predicate fifaCode P6278 FINISHED
Object CAN E86792 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: CAN | Statement: [Canada women's national soccer team, fifaCode, CAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAN
Context triple: [Canada women's national soccer team, fifaCode, CAN]
  • A. CAN
    CAN is the standard international abbreviation for the Canada men's national ice hockey team, one of the most successful and historically dominant teams in world ice hockey.
  • B. CAN chosen
    CAN is the FIFA country code for Canada, the North American nation whose teams and players participate in international soccer competitions.
  • C. CAN
    CAN is a South American regional integration organization that promotes economic and social cooperation among its member countries, including Bolivia, Colombia, Ecuador, and Peru.
  • D. CAN
    CAN is the three-letter IATA airport code for Guangzhou Baiyun International Airport, a major air transport hub in southern China.
  • E. CAC
    CAC is the commonly used abbreviation for the U.S. Army Combined Arms Center, a key institution responsible for developing Army doctrine, training, and leader education.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda559a908190ad5d92c11a398a03 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7c22a4819096ff9effe9e0d77d completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.