Triple

T5348444
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 3 E124112 entity
Predicate abbreviation P43 FINISHED
Object B 3
B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
 E513317 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 3 | Statement: [Bundesstraße 3, abbreviation, B 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B 3
Context triple: [Bundesstraße 3, abbreviation, B 3]
  • A. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • B. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • C. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • D. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • E. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • 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 3
Triple: [Bundesstraße 3, abbreviation, B 3]
Generated description
B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B 3
Target entity description: B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
  • A. B3
    B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
  • B. B3
    B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
  • C. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • D. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • E. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ef75148190815461c2a49302e9 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21cd34a08190857dd960c12fec0c completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf227781bc819083b8aba59618cc46 completed March 21, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69bf231d41848190b67de46bdbb38ab3 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.