Triple

T16378137
Position Surface form Disambiguated ID Type / Status
Subject Bundesnachrichtendienst E397729 entity
Predicate shortName P43 FINISHED
Object BND
BND is Germany’s federal foreign intelligence service responsible for gathering and analyzing information on international affairs and security threats.
E1210995 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: BND | Statement: [Bundesnachrichtendienst, shortName, BND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BND
Context triple: [Bundesnachrichtendienst, shortName, BND]
  • A. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • B. BND
    BND is the three-letter station code used to identify Bond Street station on the London Underground network.
  • C. BND
    BND is the National Rail station code for Brandon railway station in Suffolk, England.
  • D. BNDD
    BNDD is the acronym for the former U.S. Bureau of Narcotics and Dangerous Drugs, a federal agency responsible for enforcing drug control laws before its functions were absorbed into the Drug Enforcement Administration (DEA).
  • E. BDN
    BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
  • 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: BND
Triple: [Bundesnachrichtendienst, shortName, BND]
Generated description
BND is Germany’s federal foreign intelligence service responsible for gathering and analyzing information on international affairs and security threats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BND
Target entity description: BND is Germany’s federal foreign intelligence service responsible for gathering and analyzing information on international affairs and security threats.
  • A. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • B. BND
    BND is the three-letter station code used to identify Bond Street station on the London Underground network.
  • C. BND
    BND is the National Rail station code for Brandon railway station in Suffolk, England.
  • D. BNDD
    BNDD is the acronym for the former U.S. Bureau of Narcotics and Dangerous Drugs, a federal agency responsible for enforcing drug control laws before its functions were absorbed into the Drug Enforcement Administration (DEA).
  • E. BDN
    BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d97e00819094aa094f52a5a93e completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356658e881908131a3c60ed5499d completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00383a7180819092ea605aa8ef1672 completed May 10, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_6a00391645ac819092a06dc6813604fa completed May 10, 2026, 7:51 a.m.
Created at: April 10, 2026, 5:08 a.m.