Triple

T13612808
Position Surface form Disambiguated ID Type / Status
Subject PC Optimum E325234 entity
Predicate supportsAppOffers P31926 FINISHED
Object yes 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: yes | Statement: [PC Optimum, supportsAppOffers, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsAppOffers
Context triple: [PC Optimum, supportsAppOffers, yes]
  • A. hasInAppPurchases
    Indicates that an application offers additional content, features, or services that users can buy from within the app itself.
  • B. 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.
  • C. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • D. supportsThirdPartyApplications chosen
    Indicates that an entity is capable of working with, integrating, or allowing the use of software applications developed by external third parties.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.