Triple

T34257357
Position Surface form Disambiguated ID Type / Status
Subject PlusBus scheme E878927 entity
Predicate validWith P9768 FINISHED
Object train tickets to participating towns and cities 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: train tickets to participating towns and cities | Statement: [PlusBus scheme, validWith, train tickets to participating towns and cities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: validWith
Context triple: [PlusBus scheme, validWith, train tickets to participating towns and cities]
  • A. validIn chosen
    Indicates that a given entity, statement, or condition is applicable, correct, or legally/semantically acceptable within a specified context, scope, or domain.
  • B. validityType
    Indicates the specific kind or category of validity that characterizes how or under what conditions something is considered valid.
  • C. hasValidity
    Indicates that something possesses a period or condition during which it is considered legally, logically, or functionally acceptable or in force.
  • D. supportsValidationOf
    Indicates that one entity provides the mechanisms or conditions necessary for another entity to be checked or verified for correctness or compliance.
  • E. upholdsValidityOf
    Indicates that one entity confirms, supports, or maintains the correctness and legitimacy of another entity.
  • 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_69f349b421cc8190b4b4655e1d612548 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:56 a.m.