Triple

T1719541
Position Surface form Disambiguated ID Type / Status
Subject Universal Windows Platform E37358 entity
Predicate supportsStoreMonetization P16212 FINISHED
Object in-app purchases 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: in-app purchases | Statement: [Universal Windows Platform, supportsStoreMonetization, in-app purchases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsStoreMonetization
Context triple: [Universal Windows Platform, supportsStoreMonetization, in-app purchases]
  • A. supportsMonetizationProgram chosen
    Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
  • B. supportsBuyingChannel
    Indicates that one entity enables, allows, or is compatible with a particular buying or purchasing channel used by 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. supportsTapToPay
    Indicates that an entity enables or is compatible with tap-to-pay (contactless) payment functionality.
  • E. supportsOpenLoopPayments
    Indicates that an entity enables or is compatible with open-loop payment methods, where transactions are processed over general-purpose payment networks rather than a closed, proprietary system.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab5c96db6c8190a745d6fef7bf2cdb completed March 6, 2026, 11 p.m.
PD Predicate disambiguation batch_69aa61bed2fc819086d912cd34285978 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.