Triple

T15198476
Position Surface form Disambiguated ID Type / Status
Subject Valby E363201 entity
Predicate hasRailService P782 FINISHED
Object S-train E67978 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-train | Statement: [Valby, hasRailService, S-train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-train
Context triple: [Valby, hasRailService, S-train]
  • A. S-train network chosen
    The S-train network is Copenhagen’s electrified suburban rail system that connects the city center with its surrounding metropolitan areas through frequent, high-capacity commuter services.
  • B. T-bane
    T-bane is the rapid transit metro system serving Oslo and parts of its surrounding metropolitan area in Norway.
  • C. Copenhagen Metro
    Copenhagen Metro is a rapid transit system in Copenhagen, Denmark, known for its driverless trains, frequent service, and extensive underground and elevated lines connecting key parts of the city and suburbs.
  • D. S-train line A
    S-train line A is a commuter rail service in the Copenhagen S-train network that runs through central Copenhagen and serves key stations including Østerport.
  • E. Oslo commuter rail
    Oslo commuter rail is a suburban and regional train network serving the Greater Oslo area, connecting the city with surrounding towns and communities.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff133950288190a5ffeb52ee0bac37 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:10 a.m.