Triple

T18128268
Position Surface form Disambiguated ID Type / Status
Subject German Federal Motor Transport Authority E433940 entity
Predicate abbreviation P43 FINISHED
Object KBA
KBA is Germany’s Federal Motor Transport Authority, responsible for vehicle registration, driver licensing, and road traffic data and safety oversight.
 E1308436 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: KBA | Statement: [German Federal Motor Transport Authority, abbreviation, KBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KBA
Context triple: [German Federal Motor Transport Authority, abbreviation, KBA]
  • A. KAB
    KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
  • B. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • C. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • D. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • E. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • 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: KBA
Triple: [German Federal Motor Transport Authority, abbreviation, KBA]
Generated description
KBA is Germany’s Federal Motor Transport Authority, responsible for vehicle registration, driver licensing, and road traffic data and safety oversight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KBA
Target entity description: KBA is Germany’s Federal Motor Transport Authority, responsible for vehicle registration, driver licensing, and road traffic data and safety oversight.
  • A. KAB
    KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
  • B. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • C. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • D. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • E. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf061b48190b67356f1c266b80a completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038543ec98819080e1bb3981634ecb completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a0389649bac8190bb5f189e562ab8c3 completed May 12, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0389eb3928819080b6d257698e662c completed May 12, 2026, 8:13 p.m.
Created at: April 10, 2026, 10:29 a.m.