Triple

T20960893
Position Surface form Disambiguated ID Type / Status
Subject Partido Federal ng Pilipinas E516240 entity
Predicate abbreviation P43 FINISHED
Object PFP
PFP is a Philippine political party formally known as the Partido Federal ng Pilipinas, associated with federalism-oriented governance reforms.
 E1459724 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: PFP | Statement: [Partido Federal ng Pilipinas, abbreviation, PFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PFP
Context triple: [Partido Federal ng Pilipinas, abbreviation, PFP]
  • 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. FPF
    FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
  • C. FPK
    FPK is the National Rail station code for Finsbury Park railway station in north London.
  • D. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • E. FP
    FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
  • 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: PFP
Triple: [Partido Federal ng Pilipinas, abbreviation, PFP]
Generated description
PFP is a Philippine political party formally known as the Partido Federal ng Pilipinas, associated with federalism-oriented governance reforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PFP
Target entity description: PFP is a Philippine political party formally known as the Partido Federal ng Pilipinas, associated with federalism-oriented governance reforms.
  • 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. FPF
    FPF is the Peruvian Football Federation, the main organization responsible for overseeing and regulating football activities in Peru.
  • C. FPK
    FPK is the National Rail station code for Finsbury Park railway station in north London.
  • D. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • E. FP
    FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092798800481909d437b58467f8e2b completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928b4be448190bd862c8f971e61d9 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929734a5c8190911e54b601118bae completed May 17, 2026, 2:35 a.m.
Created at: April 16, 2026, 1:31 p.m.