Triple

T13248924
Position Surface form Disambiguated ID Type / Status
Subject Lower Sydenham railway station E315475 entity
Predicate hasTimetableType P63521 FINISHED
Object commuter peak and off-peak services 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: commuter peak and off-peak services | Statement: [Lower Sydenham railway station, hasTimetableType, commuter peak and off-peak services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTimetableType
Context triple: [Lower Sydenham railway station, hasTimetableType, commuter peak and off-peak services]
  • A. hasTimetableProvider
    Indicates that an entity is associated with a source or system that supplies its schedule or timetable information.
  • B. hasTimetableInformation
    Indicates that an entity provides or is associated with detailed schedule or timetable information for another entity or service.
  • C. hasScheduleType chosen
    Indicates that an entity is associated with a particular kind or category of schedule (e.g., recurring, one-time, or specific scheduling pattern).
  • D. integratedTimetableWith
    Indicates that one timetable has been combined and synchronized with another to form a unified, coordinated schedule.
  • E. hasGradeType
    Indicates that an entity is associated with a particular category or type of grade (e.g., letter grade, pass/fail, percentage).
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d9e7ea881908abc4b3a54896692 completed April 10, 2026, 11:54 p.m.
PD Predicate disambiguation batch_69d98bcca7d88190a3e68e99ed3a29e6 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:24 p.m.