Triple

T22268833
Position Surface form Disambiguated ID Type / Status
Subject (RED) Shop E550420 entity
Predicate donationMechanism P53474 FINISHED
Object portion of proceeds from sales is contributed to global health programs 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: portion of proceeds from sales is contributed to global health programs | Statement: [(RED) Shop, donationMechanism, portion of proceeds from sales is contributed to global health programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: donationMechanism
Context triple: [(RED) Shop, donationMechanism, portion of proceeds from sales is contributed to global health programs]
  • A. donationStyle chosen
    Indicates the characteristic manner or approach with which a donation is given or carried out.
  • B. donationPlatform
    Indicates a relationship where an entity serves as the platform or service through which a donation is made or processed.
  • C. donatedWith
    Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
  • D. typeOfDonations
    Indicates the kinds or categories of donations involved in a given context or transaction.
  • E. philanthropicDonation
    Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bde9f88190b533bcb88787b492 completed April 28, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69e72ff0363081909f794d19c8a64837 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:40 p.m.