Triple

T14199236
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 42 E351919 entity
Predicate roadNumber P1864 FINISHED
Object B42
B42 is a designated section of the German federal highway Bundesstraße 42, an important regional road route in Germany.
 E1085068 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: B42 | Statement: [Bundesstraße 42, roadNumber, B42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B42
Context triple: [Bundesstraße 42, roadNumber, B42]
  • A. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • B. B412
    B412 is a German federal road (Bundesstraße) in the Eifel region that provides key access to the Hohe Acht area and nearby towns.
  • C. B-4
    B-4 is an early, less advanced Soong-type android and "brother" of Data in the Star Trek universe, portrayed by Brent Spiner.
  • 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. B47
    B47 is a New York City bus route that connects the Mill Basin neighborhood in Brooklyn with other parts of the borough.
  • 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: B42
Triple: [Bundesstraße 42, roadNumber, B42]
Generated description
B42 is a designated section of the German federal highway Bundesstraße 42, an important regional road route in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B42
Target entity description: B42 is a designated section of the German federal highway Bundesstraße 42, an important regional road route in Germany.
  • A. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • B. B412
    B412 is a German federal road (Bundesstraße) in the Eifel region that provides key access to the Hohe Acht area and nearby towns.
  • C. B-4
    B-4 is an early, less advanced Soong-type android and "brother" of Data in the Star Trek universe, portrayed by Brent Spiner.
  • 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. B47
    B47 is a New York City bus route that connects the Mill Basin neighborhood in Brooklyn with other parts of the borough.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194d14008190a74021ff5a3e51d1 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ab3f83881908113259c23fe1028 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b87a0c48190a68367525ed9d2cb completed May 7, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:04 a.m.