Triple

T23553859
Position Surface form Disambiguated ID Type / Status
Subject Interregio-Express E578125 entity
Predicate stopPatternComparedToLocal P123926 FINISHED
Object fewer stops than regular regional trains LITERAL 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: fewer stops than regular regional trains | Statement: [Interregio-Express, stopPatternComparedToLocal, fewer stops than regular regional trains]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stopPatternComparedToLocal
Context triple: [Interregio-Express, stopPatternComparedToLocal, fewer stops than regular regional trains]
  • A. relativeStopPatternComparedTo chosen
    Indicates how one stop pattern is positioned or structured in relation to another stop pattern for comparison purposes.
  • B. stopsPattern
    Indicates that one entity halts, interrupts, or prevents the continuation of a recurring or structured pattern involving another entity.
  • C. typicalStopPattern
    Indicates the usual or most common sequence or arrangement of stops associated with an entity’s operation or route.
  • D. isLocalStopFor
    Indicates that a particular stop or station serves as a stopping point for a local (non-express) service or route.
  • E. stoppedBy
    Indicates that one entity causes another entity to cease moving, operating, or continuing an action.
  • F. None of above.

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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69f118afabd88190bd88f49597d120e8 completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:11 p.m.