Triple

T7064977
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 28 E164322 entity
Predicate hasAbbreviation P43 FINISHED
Object B 28
B 28 is a German federal highway (Bundesstraße) that serves as an important east–west route in the state of Baden-Württemberg.
 E638544 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 28 | Statement: [Bundesstraße 28, hasAbbreviation, B 28]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B 28
Context triple: [Bundesstraße 28, hasAbbreviation, B 28]
  • A. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • B. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • C. B 3
    B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
  • D. B 13
    B 13 is a German federal highway (Bundesstraße) that runs north–south through several regions, connecting major towns and cities.
  • E. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • 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 28
Triple: [Bundesstraße 28, hasAbbreviation, B 28]
Generated description
B 28 is a German federal highway (Bundesstraße) that serves as an important east–west route in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B 28
Target entity description: B 28 is a German federal highway (Bundesstraße) that serves as an important east–west route in the state of Baden-Württemberg.
  • A. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • B. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • C. B 3
    B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
  • D. B 13
    B 13 is a German federal highway (Bundesstraße) that runs north–south through several regions, connecting major towns and cities.
  • E. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788ba7af88190aeaf3205255af8ad completed March 28, 2026, 7:52 a.m.
NEDg Description generation batch_69c7892a387c8190856eac695fbcfb02 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c789bc4fa081908cf40ec8ff189b90 completed March 28, 2026, 7:56 a.m.
Created at: March 27, 2026, 2:39 p.m.