Triple

T14184490
Position Surface form Disambiguated ID Type / Status
Subject German Banking Act E351538 entity
Predicate shortName P43 FINISHED
Object KWG
KWG is the abbreviation for the German Banking Act, the central legal framework regulating banking and financial services in Germany.
E1084307 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: KWG | Statement: [German Banking Act, shortName, KWG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KWG
Context triple: [German Banking Act, shortName, KWG]
  • A. KWG
    KWG is the National Rail station code for Kew Gardens railway station in London, England.
  • B. KWJ
    KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
  • C. KGW
    KGW is a television station in Portland, Oregon, that serves as a major local news and NBC network affiliate.
  • D. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • E. KBWG
    KBWG is the ICAO airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, 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: KWG
Triple: [German Banking Act, shortName, KWG]
Generated description
KWG is the abbreviation for the German Banking Act, the central legal framework regulating banking and financial services in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KWG
Target entity description: KWG is the abbreviation for the German Banking Act, the central legal framework regulating banking and financial services in Germany.
  • A. KWG
    KWG is the National Rail station code for Kew Gardens railway station in London, England.
  • B. KWJ
    KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
  • C. KGW
    KGW is a television station in Portland, Oregon, that serves as a major local news and NBC network affiliate.
  • D. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • E. KBWG
    KBWG is the ICAO airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, 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.