Triple

T9749713
Position Surface form Disambiguated ID Type / Status
Subject Rhine-Ruhr S-Bahn E236408 entity
Predicate rollingStock P1305 FINISHED
Object DB Class 430 E502475 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 430 | Statement: [Rhine-Ruhr S-Bahn, rollingStock, DB Class 430]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DB Class 430
Context triple: [Rhine-Ruhr S-Bahn, rollingStock, DB Class 430]
  • A. 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.
  • 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 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.
  • D. DB Class 481 (typical)
    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 430 EMU chosen
    The DB Class 430 EMU is a modern electric multiple unit used by Deutsche Bahn for high-frequency suburban and S-Bahn commuter services in Germany.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f6a2f8c8190a6f6af6587ee90b8 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b01678f88190900a941b9d111c58 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.