Triple

T12254617
Position Surface form Disambiguated ID Type / Status
Subject Jessie Fleming E292066 entity
Predicate fifaCountryCode P6278 FINISHED
Object CAN E86792 NE FINISHED

How this triple was built (3 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: [Jessie Fleming, fifaCountryCode, CAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAN
Context triple: [Jessie Fleming, fifaCountryCode, 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. CAN bus
    CAN bus is a robust automotive serial communication network standard that allows microcontrollers and devices to communicate with each other without a host computer, widely used in vehicles and industrial systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fifaCountryCode
Context triple: [Jessie Fleming, fifaCountryCode, CAN]
  • A. fifaAffiliationCountry
    Indicates that a country is affiliated with or recognized by FIFA as a member football association.
  • B. homeCountryFIFA_code
    Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
  • C. FIFAcode chosen
    Indicates the standardized three-letter country or territory code assigned by FIFA to represent a national football team in international competitions.
  • D. fifaCodePreviously
    Indicates that an entity previously had a specific FIFA code before it was changed or replaced.
  • E. team2FIFAcode
    Indicates the FIFA country code assigned to the second team involved in a match or comparison.
  • F. None of above.

Provenance (4 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.