Triple

T19592840
Position Surface form Disambiguated ID Type / Status
Subject Berlin Tiergarten S-Bahn station E470278 entity
Predicate servedBy P82 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: [Berlin Tiergarten S-Bahn station, servedBy, S9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S9
Context triple: [Berlin Tiergarten S-Bahn station, servedBy, S9]
  • A. S9 chosen
    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. S10
    S10 is a line of the Zürich S-Bahn suburban rail network serving the Uetliberg mountain area.
  • D. S98
    S98 is a New York City bus route that provides local service connecting the Silver Lake area with other parts of Staten Island.
  • E. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64057460c8190962e2e58f06b3985 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.