Triple

T33505819
Position Surface form Disambiguated ID Type / Status
Subject Egmont Group E858108 entity
Predicate donatesProfitTo P54997 FINISHED
Object Egmont Foundation NE NERFINISHED

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: Egmont Foundation | Statement: [Egmont Group, donatesProfitTo, Egmont Foundation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: donatesProfitTo
Context triple: [Egmont Group, donatesProfitTo, Egmont Foundation]
  • A. donates
    Indicates the act of voluntarily giving something of value, such as money, goods, or time, from one entity to another without expecting payment in return.
  • B. philanthropicDonation chosen
    Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
  • C. donatedWith
    Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
  • D. donationPlatform
    Indicates a relationship where an entity serves as the platform or service through which a donation is made or processed.
  • E. donated
    Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
  • 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_69f3497721848190978fbee5e0a526f8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e59fa4d88190b2934d2484cfaf8e completed May 3, 2026, 6:05 a.m.
PD Predicate disambiguation batch_69f6e3db74c081909a991309d835d477 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:38 a.m.