Triple

T2186247
Position Surface form Disambiguated ID Type / Status
Subject Fath Union Sport E49158 entity
Predicate confederation P3193 FINISHED
Object CAF E34397 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: CAF | Statement: [Fath Union Sport, confederation, CAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAF
Context triple: [Fath Union Sport, confederation, CAF]
  • A. CAF chosen
    CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
  • B. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • C. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • D. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • E. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1152688190955c14c0937deefd completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dab44008190aeb4f77b73db2b36 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.