Triple

T9909379
Position Surface form Disambiguated ID Type / Status
Subject Asociación Uruguaya de Fútbol E185099 entity
Predicate shortName P43 FINISHED
Object AUF
AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
 E829039 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: AUF | Statement: [Asociación Uruguaya de Fútbol, shortName, AUF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUF
Context triple: [Asociación Uruguaya de Fútbol, shortName, AUF]
  • A. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • B. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • C. AUFRE
    AUFRE is the UN/LOCODE identifier for Fremantle Harbour, a major seaport serving Perth in Western Australia.
  • D. AFT
    AFT is the standard time zone used throughout Afghanistan, offset by UTC+4:30.
  • E. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • 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: AUF
Triple: [Asociación Uruguaya de Fútbol, shortName, AUF]
Generated description
AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUF
Target entity description: AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
  • A. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • B. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • C. AUFRE
    AUFRE is the UN/LOCODE identifier for Fremantle Harbour, a major seaport serving Perth in Western Australia.
  • D. AFT
    AFT is the standard time zone used throughout Afghanistan, offset by UTC+4:30.
  • E. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20db5979081909b8e292ac6bb7c2f completed April 5, 2026, 7:22 a.m.
NEDg Description generation batch_69d21099fc188190b9f95bcf6977f3de completed April 5, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_69d211216e148190a0bb1b969feb8899 completed April 5, 2026, 7:37 a.m.
Created at: March 30, 2026, 8:41 p.m.