Triple

T16089757
Position Surface form Disambiguated ID Type / Status
Subject Dejvická E390329 entity
Predicate terminusRoleEnd P107885 FINISHED
Object 2015-04-06 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: 2015-04-06 | Statement: [Dejvická, terminusRoleEnd, 2015-04-06]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terminusRoleEnd
Context triple: [Dejvická, terminusRoleEnd, 2015-04-06]
  • A. hasTerminusRole chosen
    Indicates that an entity participates in something specifically in the capacity of a terminus or endpoint role.
  • B. terminus
    Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
  • C. terminusFrom
    Indicates that something serves as the endpoint or final destination from which a route, path, or connection originates.
  • D. formerTerminusFor
    Indicates that a location once served as the endpoint or final stop of a route, line, or service, but no longer holds that status.
  • E. terminusType
    Indicates the specific kind or role of an endpoint or terminal within a route, network, or process.
  • 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.