Triple

T22593915
Position Surface form Disambiguated ID Type / Status
Subject Egypt national under-17 football team E574620 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object EFA 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: EFA | Statement: [Egypt national under-17 football team, governingBodyAbbreviation, EFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EFA
Context triple: [Egypt national under-17 football team, governingBodyAbbreviation, EFA]
  • A. EFA
    EFA is the commonly used abbreviation for the French School at Athens, a renowned French archaeological and research institution based in Greece.
  • B. EFA chosen
    EFA is the governing body responsible for organizing and overseeing football activities and competitions in Egypt.
  • C. EFA
    EFA is the commonly used abbreviation for the European Film Awards, an annual event honoring excellence in European cinema.
  • D. EAF
    The EAF is the aerial warfare branch of Egypt's armed forces, responsible for defending the country's airspace and conducting air operations.
  • E. EAF
    EAF is the abbreviation for the Estonian Air Force, the air warfare branch of Estonia’s national defense forces.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.