Triple

T22631365
Position Surface form Disambiguated ID Type / Status
Subject B 96 road E558561 entity
Predicate roadNumber P1864 FINISHED
Object B 96 NE NERFINISHED

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 96 | Statement: [B 96 road, roadNumber, B 96]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B 96
Context triple: [B 96 road, roadNumber, B 96]
  • 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 a New York City bus route in Brooklyn that connects several neighborhoods, including Kensington, along an east–west corridor.
  • E. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17009ecb0819082f94505b0e2c5b8 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:02 p.m.