Triple

T21832778
Position Surface form Disambiguated ID Type / Status
Subject Basel S-Bahn E539039 entity
Predicate hasLine P35 FINISHED
Object S9 NE NERFINISHED

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: S9 | Statement: [Basel S-Bahn, hasLine, S9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S9
Context triple: [Basel S-Bahn, hasLine, S9]
  • A. S9
    S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
  • B. S9
    S9 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting multiple cities across the area.
  • C. S9 chosen
    S9 is a regional rail service designation used within the RER Vaud commuter rail network in Switzerland.
  • D. S10
    S10 is a line of the Zürich S-Bahn suburban rail network serving the Uetliberg mountain area.
  • E. S98
    S98 is a New York City bus route that provides local service connecting the Silver Lake area with other parts of Staten Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.