Triple

T5850753
Position Surface form Disambiguated ID Type / Status
Subject Kettler Capitals Iceplex E130022 entity
Predicate namedAfter P63 FINISHED
Object Kettler
Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
E550574 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: Kettler | Statement: [Kettler Capitals Iceplex, namedAfter, Kettler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kettler
Context triple: [Kettler Capitals Iceplex, namedAfter, Kettler]
  • A. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • B. Leeb
    Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
  • C. Desso Sports Systems
    Desso Sports Systems is a company specializing in high-performance sports surfaces, particularly hybrid grass and artificial turf systems used in professional stadiums and sports facilities worldwide.
  • D. Leister
    Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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: Kettler
Triple: [Kettler Capitals Iceplex, namedAfter, Kettler]
Generated description
Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kettler
Target entity description: Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
  • A. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • B. Leeb
    Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
  • C. Desso Sports Systems
    Desso Sports Systems is a company specializing in high-performance sports surfaces, particularly hybrid grass and artificial turf systems used in professional stadiums and sports facilities worldwide.
  • D. Leister
    Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035176c8c81909e24d263e4feb664 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b3c7d08190bada8ae35e7fa8eb completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a234f0dc819098a889bd5ee87722 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2b1df0c8190b63d5ca984439b0b completed March 23, 2026, 2:17 a.m.
Created at: March 22, 2026, 3:55 p.m.