Triple

T3724533
Position Surface form Disambiguated ID Type / Status
Subject Krefeld Pinguine E81717 entity
Predicate shortName P43 FINISHED
Object KEV
KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
 E381565 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: KEV | Statement: [Krefeld Pinguine, shortName, KEV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEV
Context triple: [Krefeld Pinguine, shortName, KEV]
  • A. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • B. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • C. EKvW
    EKvW is the commonly used abbreviation for the Evangelical Church of Westphalia, a regional Protestant church body in Germany.
  • D. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • E. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • 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: KEV
Triple: [Krefeld Pinguine, shortName, KEV]
Generated description
KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEV
Target entity description: KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • A. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • B. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • C. EKvW
    EKvW is the commonly used abbreviation for the Evangelical Church of Westphalia, a regional Protestant church body in Germany.
  • D. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • E. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf54af881908bd8d520595de061 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1e303881909efc1c6735d6c12e completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4cf1840bc81908a85642430ab5339 completed March 14, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69b4cf92e9c48190a3d87ba1f90548ec completed March 14, 2026, 3:01 a.m.
Created at: March 8, 2026, 3:34 p.m.