Triple

T8541651
Position Surface form Disambiguated ID Type / Status
Subject Kenya national football team E202209 entity
Predicate hasAbbreviation P43 FINISHED
Object KEN E741163 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: KEN | Statement: [Kenya national football team, hasAbbreviation, KEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KEN
Context triple: [Kenya national football team, hasAbbreviation, KEN]
  • A. KEN chosen
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • B. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce891a1fac8190bcae4063b24c760a completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:18 p.m.