Triple

T16960750
Position Surface form Disambiguated ID Type / Status
Subject Peru national under-20 football team E411419 entity
Predicate governingBodyAbbreviation P2886 FINISHED
Object FPF
FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
 E1243700 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: FPF | Statement: [Peru national under-20 football team, governingBodyAbbreviation, FPF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FPF
Context triple: [Peru national under-20 football team, governingBodyAbbreviation, FPF]
  • A. FPF
    FPF is the Portuguese Football Federation, the national governing body responsible for organizing and overseeing football in Portugal, including its national teams.
  • B. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • C. PFG
    PFG is the stock ticker symbol for Principal Financial Group, a U.S.-based global financial services and investment management company.
  • D. PF
    PF is the vehicle registration code used on license plates for the German city of Pforzheim.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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: FPF
Triple: [Peru national under-20 football team, governingBodyAbbreviation, FPF]
Generated description
FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FPF
Target entity description: FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
  • A. FPF
    FPF is the Portuguese Football Federation, the national governing body responsible for organizing and overseeing football in Portugal, including its national teams.
  • B. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • C. PFG
    PFG is the stock ticker symbol for Principal Financial Group, a U.S.-based global financial services and investment management company.
  • D. PF
    PF is the vehicle registration code used on license plates for the German city of Pforzheim.
  • E. PFA
    PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5f5f0448190be407979539fcd80 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6e1add481908cce9048e3746e7c completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.