Triple

T16533174
Position Surface form Disambiguated ID Type / Status
Subject RegionalBahn E401617 entity
Predicate labelOnTimetables P9621 FINISHED
Object RB E1217621 NE FINISHED

How this triple was built (3 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: RB | Statement: [RegionalBahn, labelOnTimetables, RB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RB
Context triple: [RegionalBahn, labelOnTimetables, RB]
  • A. RB
    RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
  • B. RB chosen
    RB is a common train service designation in German-speaking countries referring to RegionalBahn, which operates short- to medium-distance regional passenger rail services with frequent stops.
  • C. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • D. RK
    RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
  • E. RK
    RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: labelOnTimetables
Context triple: [RegionalBahn, labelOnTimetables, RB]
  • A. labelOf
    Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
  • B. hasTimetableInformation
    Indicates that an entity provides or is associated with detailed schedule or timetable information for another entity or service.
  • C. integratedTimetableWith
    Indicates that one timetable has been combined and synchronized with another to form a unified, coordinated schedule.
  • D. usedForRailwayTimetables chosen
    Indicates that something is employed in the creation, organization, or presentation of railway timetables.
  • E. labelIndication
    Indicates that a label or designation is assigned to an entity to specify its indication, purpose, or intended use.
  • F. None of above.

Provenance (4 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed97b0881909de106418aca8180 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a913388190afebe40fcc42e731 completed May 10, 2026, 11:10 a.m.
PD Predicate disambiguation batch_69e2969fab208190ad64164d24748c45 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:15 a.m.