Triple

T7803501
Position Surface form Disambiguated ID Type / Status
Subject Hackescher Markt E180488 entity
Predicate servedBy P82 FINISHED
Object S3 line E573005 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: S3 line | Statement: [Hackescher Markt, servedBy, S3 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S3 line
Context triple: [Hackescher Markt, servedBy, S3 line]
  • A. S3 line
    The S3 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • B. S3 line chosen
    The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
  • C. S3 line
    The S3 line is a commuter rail service within the Zürich S-Bahn network that connects Zürich with its surrounding suburbs and regional destinations.
  • D. S3 Line
    The S3 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
  • E. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf635a4648190af907a686d87f073 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14371e2081908d0a798d3b785c3c completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:34 p.m.