Triple

T16089965
Position Surface form Disambiguated ID Type / Status
Subject Prague trams E390334 entity
Predicate usesTicketInspection P70929 FINISHED
Object on-board inspectors 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: on-board inspectors | Statement: [Prague trams, usesTicketInspection, on-board inspectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTicketInspection
Context triple: [Prague trams, usesTicketInspection, on-board inspectors]
  • A. hasTicketInspection
    Indicates that a ticket is checked or verified by an authorized inspector or system.
  • B. usedForTicketType
    Indicates that something is utilized or applicable for a specific type or category of ticket.
  • C. usesTicketValidatorType chosen
    Indicates that an entity employs or is associated with a specific type or category of ticket validation device or method.
  • D. hasTicketAccess
    Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
  • E. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:59 a.m.