Triple

T10948627
Position Surface form Disambiguated ID Type / Status
Subject Federal Government Commissioner for Culture and the Media E258665 entity
Predicate shortName P43 FINISHED
Object BKM
BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
 E895735 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: BKM | Statement: [Federal Government Commissioner for Culture and the Media, shortName, BKM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKM
Context triple: [Federal Government Commissioner for Culture and the Media, shortName, BKM]
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • C. BKS
    BKS is the former New York Stock Exchange ticker symbol for Barnes & Noble, the large American bookselling and retail company.
  • D. BKS
    BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, Indonesia.
  • E. BKW
    BKW is the IATA airport code for Raleigh County Memorial Airport serving Beckley, West Virginia.
  • 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: BKM
Triple: [Federal Government Commissioner for Culture and the Media, shortName, BKM]
Generated description
BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKM
Target entity description: BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • C. BKS
    BKS is the former New York Stock Exchange ticker symbol for Barnes & Noble, the large American bookselling and retail company.
  • D. BKS
    BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, Indonesia.
  • E. BKW
    BKW is the IATA airport code for Raleigh County Memorial Airport serving Beckley, West Virginia.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ec7028819084f5ce2035a128e4 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c4a75688190894c83b8964509a6 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.