Triple

T5038324
Position Surface form Disambiguated ID Type / Status
Subject Fife Flyers E113480 entity
Predicate hasAbbreviation P43 FINISHED
Object FIF
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
 E487810 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: FIF | Statement: [Fife Flyers, hasAbbreviation, FIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIF
Context triple: [Fife Flyers, hasAbbreviation, FIF]
  • A. F.
    F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
  • B. FICE
    FICE is the post-nominal designation used to indicate a Fellow of the Institution of Civil Engineers, recognizing senior professional standing and contribution to the civil engineering profession.
  • C. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. FIS
    FIS (Fédération Internationale de Ski) is the international governing body for skiing and snowboarding, responsible for overseeing major competitions and setting rules across multiple snow sports disciplines.
  • 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: FIF
Triple: [Fife Flyers, hasAbbreviation, FIF]
Generated description
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIF
Target entity description: FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • A. F.
    F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
  • B. FICE
    FICE is the post-nominal designation used to indicate a Fellow of the Institution of Civil Engineers, recognizing senior professional standing and contribution to the civil engineering profession.
  • C. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. FIS
    FIS (Fédération Internationale de Ski) is the international governing body for skiing and snowboarding, responsible for overseeing major competitions and setting rules across multiple snow sports disciplines.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73daaa788190b670f6c328bfa44f completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c7c8ba881908240c7f338ad9784 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d191ea481908ccbba1927fcbb43 completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9db965cc8190a482813f4bd1ad60 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:37 p.m.