Triple

T6906071
Position Surface form Disambiguated ID Type / Status
Subject Adlershof E159815 entity
Predicate transportConnection P1298 FINISHED
Object S-Bahn line S8 E601840 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 S8 | Statement: [Adlershof, transportConnection, S-Bahn line S8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn line S8
Context triple: [Adlershof, transportConnection, S-Bahn line S8]
  • A. Berlin S-Bahn line S8 chosen
    Berlin S-Bahn line S8 is a suburban railway service in Berlin that runs north–south across the city as part of the wider S-Bahn rapid transit network.
  • B. S8 (Munich S-Bahn)
    S8 is a Munich S-Bahn commuter rail line that connects central Munich with Munich Airport and other eastern and western suburbs.
  • C. S8 line
    The S8 line is a route of the Rhine-Main S-Bahn network in the Frankfurt region, providing suburban rail service that connects central Frankfurt with surrounding cities and the airport.
  • D. S8 line
    The S8 line is a regional commuter rail service within the Zürich S-Bahn network that connects the city of Zürich with surrounding suburbs and towns.
  • E. 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.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98c3ab08190a1830c45578056ac completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.