Triple

T15730306
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn line S26 E381324 entity
Predicate rollingStock P1305 FINISHED
Object DB Class 481 E578124 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: DB Class 481 | Statement: [S-Bahn line S26, rollingStock, DB Class 481]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DB Class 481
Context triple: [S-Bahn line S26, rollingStock, DB Class 481]
  • A. DB Class 480
    The DB Class 480 is a series of electric multiple unit trains used for urban rapid transit services on the Berlin S-Bahn network in Germany.
  • B. DB Class 484
    DB Class 484 is a series of modern electric multiple units built for Berlin’s S-Bahn network, designed to replace older trains and improve urban commuter service.
  • 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 481 (typical) chosen
    The DB Class 481 is a series of electric multiple units used for Berlin S-Bahn commuter services, known for their red-yellow livery and operation on the city’s third-rail network.
  • 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 (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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fcb4e4819097bd0591bbcc3b71 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.