Triple

T13489388
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 96 E318592 entity
Predicate hasSection P35 FINISHED
Object B 96n E1043690 NE FINISHED

How this triple was built (2 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 96n | Statement: [Bundesstraße 96, hasSection, B 96n]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B 96n
Context triple: [Bundesstraße 96, hasSection, B 96n]
  • A. B 96 chosen
    B 96 is a major German federal highway (Bundesstraße) that runs in a north–south direction, connecting Berlin with the Baltic Sea island of Rügen.
  • B. B9
    B9 is the fifth-generation Audi A4 platform, featuring updated styling, improved efficiency, and advanced technology over its predecessor.
  • C. 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.
  • D. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • E. A96
    The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3cbe2081908c6792362c67c8f1 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75483a6f88190b3815fb8d97e65e4 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.