Triple

T20962571
Position Surface form Disambiguated ID Type / Status
Subject THW Kiel E516283 entity
Predicate shortName P43 FINISHED
Object THW
THW is a German handball club best known as THW Kiel, one of the most successful teams in European handball history.
 E1459810 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: THW | Statement: [THW Kiel, shortName, THW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: THW
Context triple: [THW Kiel, shortName, THW]
  • A. TWH
    TWH is a major academic teaching and research hospital in downtown Toronto, renowned for its specialized care in neuroscience, musculoskeletal health, and complex patient services.
  • B. TWH
    TWH is the National Rail station code for Tonbridge railway station in Kent, England.
  • C. THL
    THL is the Finnish Institute for Health and Welfare, a national expert agency responsible for research, development, and guidance on public health and social welfare in Finland.
  • D. THS
    THS is the National Rail station code for Thurso railway station in the Scottish Highlands.
  • E. THS
    THS is the stock ticker symbol for TreeHouse Foods, a U.S.-based manufacturer of private-label packaged foods and beverages.
  • 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: THW
Triple: [THW Kiel, shortName, THW]
Generated description
THW is a German handball club best known as THW Kiel, one of the most successful teams in European handball history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: THW
Target entity description: THW is a German handball club best known as THW Kiel, one of the most successful teams in European handball history.
  • A. TWH
    TWH is a major academic teaching and research hospital in downtown Toronto, renowned for its specialized care in neuroscience, musculoskeletal health, and complex patient services.
  • B. TWH
    TWH is the National Rail station code for Tonbridge railway station in Kent, England.
  • C. THL
    THL is the Finnish Institute for Health and Welfare, a national expert agency responsible for research, development, and guidance on public health and social welfare in Finland.
  • D. THS
    THS is the National Rail station code for Thurso railway station in the Scottish Highlands.
  • E. THS
    THS is the stock ticker symbol for TreeHouse Foods, a U.S.-based manufacturer of private-label packaged foods and beverages.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6fd1d48190ad0ec7eb72f84889 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092798800481909d437b58467f8e2b completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928b4be448190bd862c8f971e61d9 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929734a5c8190911e54b601118bae completed May 17, 2026, 2:35 a.m.
Created at: April 16, 2026, 1:32 p.m.