Triple

T17370121
Position Surface form Disambiguated ID Type / Status
Subject Telemark Canal E422287 entity
Predicate operator P179 FINISHED
Object Telemarkskanalen FKF — NE ONDG

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: Telemarkskanalen FKF | Statement: [Telemark Canal, operator, Telemarkskanalen FKF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Telemarkskanalen FKF
Context triple: [Telemark Canal, operator, Telemarkskanalen FKF]
  • A. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • B. KFNL
    KFNL is the ICAO airport code for Fort Collins-Loveland Municipal Airport in Colorado, United States.
  • C. Lyn Fotball
    Lyn Fotball is a Norwegian football club based in Oslo, historically known as one of the country’s oldest and most traditional teams.
  • D. TFFF
    TFFF is the ICAO airport code for Martinique Aimé Césaire International Airport, the main international gateway to the Caribbean island of Martinique.
  • E. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • 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: Telemarkskanalen FKF
Triple: [Telemark Canal, operator, Telemarkskanalen FKF]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Telemarkskanalen FKF
Target entity description: Telemarkskanalen FKF is a Norwegian public enterprise responsible for managing and operating the historic Telemark Canal and its associated infrastructure.
  • A. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • B. KFNL
    KFNL is the ICAO airport code for Fort Collins-Loveland Municipal Airport in Colorado, United States.
  • C. Lyn Fotball
    Lyn Fotball is a Norwegian football club based in Oslo, historically known as one of the country’s oldest and most traditional teams.
  • D. TFFF
    TFFF is the ICAO airport code for Martinique Aimé Césaire International Airport, the main international gateway to the Caribbean island of Martinique.
  • E. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • F. None of above. chosen

Provenance (4 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.