Triple

T20434265
Position Surface form Disambiguated ID Type / Status
Subject S3 (Stuttgart S-Bahn) E501210 entity
Predicate usesRollingStock P5426 FINISHED
Object DB Class 430 — 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: DB Class 430 | Statement: [S3 (Stuttgart S-Bahn), usesRollingStock, DB Class 430]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DB Class 430
Context triple: [S3 (Stuttgart S-Bahn), usesRollingStock, DB Class 430]
  • A. DB Class 430 chosen
    The DB Class 430 is a modern electric multiple unit used for suburban and S-Bahn commuter services in Germany.
  • B. DB Class 423
    DB Class 423 is a series of electric multiple-unit commuter trains widely used in German S-Bahn networks, particularly for high-frequency urban and suburban passenger services.
  • C. DB Class 483
    DB Class 483 is a series of modern electric multiple units used by S-Bahn Berlin for urban commuter rail services in the Berlin metropolitan area.
  • D. DB Class 422
    DB Class 422 is a series of modern electric multiple-unit commuter trains operated by Deutsche Bahn, primarily used on S-Bahn services in Germany.
  • E. DB Class 474
    The DB Class 474 is an electric multiple unit train series operated by Deutsche Bahn, primarily used for suburban S-Bahn services such as those in Hamburg.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ecf7ac81908e9c2ef4348fb281 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.