Triple

T14184600
Position Surface form Disambiguated ID Type / Status
Subject German Securities Trading Act E351540 entity
Predicate abbreviation P43 FINISHED
Object WpHG
WpHG is the German Securities Trading Act, a key law regulating securities trading, market transparency, and investor protection in Germany.
 E1084310 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: WpHG | Statement: [German Securities Trading Act, abbreviation, WpHG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WpHG
Context triple: [German Securities Trading Act, abbreviation, WpHG]
  • A. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • B. WHC
    WHC is a major immersed-tube road tunnel in Hong Kong that runs beneath Victoria Harbour, connecting West Kowloon and Hong Kong Island.
  • C. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • D. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • E. WP
    WP is the reporting mark and common abbreviation for the Western Pacific Railroad, a historic American railroad that operated primarily in California and the western United States.
  • 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: WpHG
Triple: [German Securities Trading Act, abbreviation, WpHG]
Generated description
WpHG is the German Securities Trading Act, a key law regulating securities trading, market transparency, and investor protection in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WpHG
Target entity description: WpHG is the German Securities Trading Act, a key law regulating securities trading, market transparency, and investor protection in Germany.
  • A. WHC
    WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
  • B. WHC
    WHC is a major immersed-tube road tunnel in Hong Kong that runs beneath Victoria Harbour, connecting West Kowloon and Hong Kong Island.
  • C. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • D. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • E. WP
    WP is the reporting mark and common abbreviation for the Western Pacific Railroad, a historic American railroad that operated primarily in California and the western United States.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cc0a848190b660095972b1223b completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf81285c481908a5594bcb3304981 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd06a6e5d08190906cca66b2dcf565 completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd07116e74819089aa9f75a11c6531 completed May 7, 2026, 9:41 p.m.
Created at: April 10, 2026, 1:03 a.m.