Triple

T16443207
Position Surface form Disambiguated ID Type / Status
Subject S46 (Berlin S-Bahn line) E399358 entity
Predicate rollingStock P1305 FINISHED
Object DBAG Class 481 E589531 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: DBAG Class 481 | Statement: [S46 (Berlin S-Bahn line), rollingStock, DBAG Class 481]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DBAG Class 481
Context triple: [S46 (Berlin S-Bahn line), rollingStock, DBAG Class 481]
  • A. DBAG Class 481 chosen
    The DBAG Class 481 is a series of electric multiple units used on the Berlin S-Bahn network, known for their lightweight design and role in modernizing urban rail services in the German capital.
  • B. DBAG Class 484
    The DBAG Class 484 is a modern electric multiple unit train used for Berlin S-Bahn commuter services in Germany.
  • C. DBAG Class 483
    The DBAG Class 483 is a modern electric multiple unit train type used by Deutsche Bahn for S-Bahn commuter services in Germany.
  • D. DBAG Class 480
    The DBAG Class 480 is a series of electric multiple units used primarily for S-Bahn commuter rail services in Berlin, Germany.
  • E. Class 57 diesel locomotive
    The Class 57 diesel locomotive is a British mainline locomotive type, rebuilt from older Class 47s, widely used for both passenger and freight services including prestigious sleeper and charter trains.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.