Triple

T9927637
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 297 E187961 entity
Predicate hasAbbreviation P43 FINISHED
Object B 297
B 297 is a German federal road (Bundesstraße) that serves as a regional transport route within Germany’s national highway network.
E829159 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: B 297 | Statement: [Bundesstraße 297, hasAbbreviation, B 297]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B 297
Context triple: [Bundesstraße 297, hasAbbreviation, B 297]
  • A. B 28
    B 28 is a German federal highway (Bundesstraße) that serves as an important east–west route in the state of Baden-Württemberg.
  • B. B9
    B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
  • C. B197
    B197 is a classified B-road in England that follows part of the historic Great North Road route.
  • D. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • E. B99
    B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • 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: B 297
Triple: [Bundesstraße 297, hasAbbreviation, B 297]
Generated description
B 297 is a German federal road (Bundesstraße) that serves as a regional transport route within Germany’s national highway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: B 297
Target entity description: B 297 is a German federal road (Bundesstraße) that serves as a regional transport route within Germany’s national highway network.
  • A. B 28
    B 28 is a German federal highway (Bundesstraße) that serves as an important east–west route in the state of Baden-Württemberg.
  • B. B9
    B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
  • C. B197
    B197 is a classified B-road in England that follows part of the historic Great North Road route.
  • D. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • E. B99
    B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d20ed2dea481909fd9a9dddac3daf1 completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d20fef723881909d8d57548461926f completed April 5, 2026, 7:31 a.m.
Created at: March 30, 2026, 8:43 p.m.