Triple

T4762665
Position Surface form Disambiguated ID Type / Status
Subject Kabaddi E105732 entity
Predicate abbreviation P43 FINISHED
Object IKF
IKF is the International Kabaddi Federation, the global governing body responsible for overseeing and promoting the sport of kabaddi worldwide.
 E466985 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: IKF | Statement: [Kabaddi, abbreviation, IKF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IKF
Context triple: [Kabaddi, abbreviation, IKF]
  • A. IFK
    IFK is a Swedish sports club best known for its successful football team, IFK Göteborg.
  • B. IKAR
    IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
  • C. IKA
    IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
  • D. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • E. IKE
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • 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: IKF
Triple: [Kabaddi, abbreviation, IKF]
Generated description
IKF is the International Kabaddi Federation, the global governing body responsible for overseeing and promoting the sport of kabaddi worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IKF
Target entity description: IKF is the International Kabaddi Federation, the global governing body responsible for overseeing and promoting the sport of kabaddi worldwide.
  • A. IFK
    IFK is a Swedish sports club best known for its successful football team, IFK Göteborg.
  • B. IKAR
    IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
  • C. IKA
    IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
  • D. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • E. IKE
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd651091cc81909b835439c85e842f completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a81c9dc8190b9e7f399ac1de268 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3b4791008190ba3f3f6e7698146f completed March 21, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69be3bbe432081909bf134e1be799b58 completed March 21, 2026, 6:33 a.m.
Created at: March 20, 2026, 1:20 p.m.