Triple

T24904239
Position Surface form Disambiguated ID Type / Status
Subject Hans Wilsdorf E623659 entity
Predicate donatedOwnershipTo P499 FINISHED
Object Hans Wilsdorf 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: Hans Wilsdorf Foundation | Statement: [Hans Wilsdorf, donatedOwnershipTo, Hans Wilsdorf Foundation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: donatedOwnershipTo
Context triple: [Hans Wilsdorf, donatedOwnershipTo, Hans Wilsdorf Foundation]
  • A. donatedWith
    Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
  • B. donated chosen
    Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
  • C. archiveDonatedTo
    Indicates that an archive has been given or transferred as a donation to a recipient institution or entity.
  • D. 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.
  • E. donatedToState
    Indicates that an entity has given or transferred something, such as money, goods, or assets, as a donation to a state or state-level governmental body.
  • 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f43043512481909501a3979cac9947 completed May 1, 2026, 4:46 a.m.
PD Predicate disambiguation batch_69f420fd375c81908ea4a4e60b76ee8f completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:27 a.m.