Triple

T5840564
Position Surface form Disambiguated ID Type / Status
Subject Ruter ticketing system E129580 entity
Predicate supportsPurchaseChannel P19796 FINISHED
Object mobile app 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: mobile app | Statement: [Ruter ticketing system, supportsPurchaseChannel, mobile app]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsPurchaseChannel
Context triple: [Ruter ticketing system, supportsPurchaseChannel, mobile app]
  • A. supportsBuyingChannel chosen
    Indicates that one entity enables, allows, or is compatible with a particular buying or purchasing channel used by another entity.
  • B. supportsChannels
    Indicates that one entity is capable of handling, providing, or being compatible with one or more specified channels for communication, distribution, or operation.
  • C. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • D. supportsMarket
    Indicates that one entity provides resources, infrastructure, or conditions that enable or facilitate the functioning or growth of a market associated with another entity.
  • E. supportsAskToBuy
    Indicates that one entity enables or authorizes another entity to use an "Ask to Buy" approval process for purchases or requests.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:54 p.m.