Triple

T24382677
Position Surface form Disambiguated ID Type / Status
Subject Täsch E614653 entity
Predicate carAccessToZermatt P71557 FINISHED
Object terminus for private cars 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: terminus for private cars | Statement: [Täsch, carAccessToZermatt, terminus for private cars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: carAccessToZermatt
Context triple: [Täsch, carAccessToZermatt, terminus for private cars]
  • A. vehicleAccess
    Indicates that one entity is permitted to use, enter, or otherwise access a particular vehicle.
  • B. hasMotorVehicleAccess chosen
    Indicates that an entity is permitted to use or operate a motor vehicle within a specified area, context, or under certain conditions.
  • C. hasVehicleAccess
    Indicates that an entity is permitted to use or enter a particular vehicle.
  • D. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • E. transportAccessType
    Indicates the type or mode of transportation access available or used in a given context.
  • 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_69e2d7e362e481909e32fe4ef8269d4f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293dcd50c8190b242f68198343caa completed April 29, 2026, 11:27 p.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:03 a.m.