Triple

T1646692
Position Surface form Disambiguated ID Type / Status
Subject Copa del Rey E35597 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object RFEF
RFEF is the Royal Spanish Football Federation, the main governing body for football in Spain that organizes national competitions and oversees the national teams.
 E185627 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: RFEF | Statement: [Copa del Rey, governingBodyAbbreviation, RFEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RFEF
Context triple: [Copa del Rey, governingBodyAbbreviation, RFEF]
  • A. RFE/RL
    RFE/RL is a U.S.-funded international news organization that provides independent journalism to countries where a free press is restricted or not fully established.
  • B. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • C. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • D. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • E. EEF
    EEF is the abbreviation for the Economist Educational Foundation, a charity that promotes economic and financial literacy through educational resources and programs.
  • 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: RFEF
Triple: [Copa del Rey, governingBodyAbbreviation, RFEF]
Generated description
RFEF is the Royal Spanish Football Federation, the main governing body for football in Spain that organizes national competitions and oversees the national teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RFEF
Target entity description: RFEF is the Royal Spanish Football Federation, the main governing body for football in Spain that organizes national competitions and oversees the national teams.
  • A. RFE/RL
    RFE/RL is a U.S.-funded international news organization that provides independent journalism to countries where a free press is restricted or not fully established.
  • B. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • C. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • D. RWF
    RWF is the currency code for the Rwandan franc, the official monetary unit of Rwanda.
  • E. EEF
    EEF is the abbreviation for the Economist Educational Foundation, a charity that promotes economic and financial literacy through educational resources and programs.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a62b26c8190bf97bb80c228b47e completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a4bd5481908b46f44364c15592 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad617fea508190ae6fa86cf9ea814a completed March 8, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69ad62028a448190a0c3f0dadae6a741 completed March 8, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:28 p.m.