Triple

T16858721
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Moabit E409853 entity
Predicate hasTransportConnection P845 FINISHED
Object S-Bahn line S3 E601838 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: S-Bahn line S3 | Statement: [Berlin-Moabit, hasTransportConnection, S-Bahn line S3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn line S3
Context triple: [Berlin-Moabit, hasTransportConnection, S-Bahn line S3]
  • A. Berlin S-Bahn line S3 chosen
    Berlin S-Bahn line S3 is a suburban rail service in Berlin that runs across the city and into the surrounding region as part of the S-Bahn rapid transit network.
  • B. Frankfurt S-Bahn line S3
    Frankfurt S-Bahn line S3 is a suburban rail service in the Rhine-Main S-Bahn network that connects Frankfurt with surrounding towns along its designated corridor.
  • C. Hamburg S-Bahn line S3
    Hamburg S-Bahn line S3 is a rapid transit route in Hamburg’s suburban rail network that connects the city center with southwestern suburbs and surrounding regions.
  • D. S-Bahn line S1
    S-Bahn line S1 is a commuter rail service in the Berlin S-Bahn network that connects central Berlin with its northern and southwestern suburbs.
  • E. S-Bahn line S6
    S-Bahn line S6 is a regional suburban rail service in Germany’s Rhine-Ruhr network, connecting cities such as Essen and Düsseldorf and serving areas around Lake Baldeney (Baldeneysee).
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.