Triple

T14183753
Position Surface form Disambiguated ID Type / Status
Subject European Film Awards E351522 entity
Predicate shortName P43 FINISHED
Object EFA
EFA is the commonly used abbreviation for the European Film Awards, an annual event honoring excellence in European cinema.
 E1084249 NE FINISHED

How this triple was built (4 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: [European Film Awards, shortName, EFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EFA
Context triple: [European Film Awards, shortName, 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
    EFA is the governing body responsible for organizing and overseeing football activities and competitions in Egypt.
  • C. EAF
    The EAF is the aerial warfare branch of Egypt's armed forces, responsible for defending the country's airspace and conducting air operations.
  • D. EAF
    EAF is the abbreviation for the Estonian Air Force, the air warfare branch of Estonia’s national defense forces.
  • E. EEF
    The EEF, or British Egyptian Expeditionary Force, was a British Empire field army that fought in the Middle Eastern theatre of World War I, particularly in the Sinai and Palestine campaigns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EFA
Triple: [European Film Awards, shortName, EFA]
Generated description
EFA is the commonly used abbreviation for the European Film Awards, an annual event honoring excellence in European cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EFA
Target entity description: EFA is the commonly used abbreviation for the European Film Awards, an annual event honoring excellence in European cinema.
  • 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
    EFA is the governing body responsible for organizing and overseeing football activities and competitions in Egypt.
  • C. EAF
    EAF is the abbreviation for the Estonian Air Force, the air warfare branch of Estonia’s national defense forces.
  • 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. EEF
    The EEF, or British Egyptian Expeditionary Force, was a British Empire field army that fought in the Middle Eastern theatre of World War I, particularly in the Sinai and Palestine campaigns.
  • F. None of above. chosen

Provenance (5 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cc0a848190b660095972b1223b completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf81285c481908a5594bcb3304981 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd06a6e5d08190906cca66b2dcf565 completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd07116e74819089aa9f75a11c6531 completed May 7, 2026, 9:41 p.m.
Created at: April 10, 2026, 1:03 a.m.