Triple

T10671054
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt public transport network E251484 entity
Predicate supportsTicketMedium P24486 FINISHED
Object paper ticket 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: paper ticket | Statement: [Frankfurt public transport network, supportsTicketMedium, paper ticket]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsTicketMedium
Context triple: [Frankfurt public transport network, supportsTicketMedium, paper ticket]
  • A. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • B. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • C. typeOfSupport
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • D. supportsType chosen
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • E. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8648a248190a3bd284c569152e4 completed April 9, 2026, 12:52 a.m.
PD Predicate disambiguation batch_69d6dd8a93208190a573061387e2aebb completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:09 p.m.