Triple

T3119686
Position Surface form Disambiguated ID Type / Status
Subject PFA Young Player of the Year E65151 entity
Predicate presentedBy P83 FINISHED
Object PFA
PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
 E330096 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: PFA | Statement: [PFA Young Player of the Year, presentedBy, PFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PFA
Context triple: [PFA Young Player of the Year, presentedBy, PFA]
  • A. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • B. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • C. PaF
    PaF is a Portuguese centre-right political coalition formed by the Social Democratic Party and the CDS – People's Party to contest national elections.
  • D. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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. 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: PFA
Triple: [PFA Young Player of the Year, presentedBy, PFA]
Generated description
PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PFA
Target entity description: PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
  • A. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • B. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • C. PaF
    PaF is a Portuguese centre-right political coalition formed by the Social Democratic Party and the CDS – People's Party to contest national elections.
  • D. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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. 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4eb6a6081909df41f67999eb4ff completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f67b80c8190849581cf1829d840 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2135f05c88190b926556828a038ac completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b214268d588190996d909297baaffc completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:04 p.m.