Triple

T14996453
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt Stadion station E373968 entity
Predicate hasService P182 FINISHED
Object S8 line E308542 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: S8 line | Statement: [Frankfurt Stadion station, hasService, S8 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S8 line
Context triple: [Frankfurt Stadion station, hasService, S8 line]
  • A. S8 line chosen
    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.
  • B. 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.
  • C. S8 line
    The S8 line is a Berlin S-Bahn route that runs across the city, connecting northern and southeastern districts via central transfer hubs.
  • D. S8 Line
    The S8 Line is a suburban rapid transit line of the Nanjing Metro system in Nanjing, China.
  • E. S5 line
    The S5 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area, connecting central Frankfurt with its surrounding 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969c3ba88190899f06b185e94ccf completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.