Triple
T8301386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Wikinews |
E194355
|
entity |
| Predicate | donationPlatform |
P82609
|
FINISHED |
| Object | Wikimedia Foundation fundraising campaigns |
—
|
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: Wikimedia Foundation fundraising campaigns | Statement: [Chinese Wikinews, donationPlatform, Wikimedia Foundation fundraising campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donationPlatform Context triple: [Chinese Wikinews, donationPlatform, Wikimedia Foundation fundraising campaigns]
-
A.
philanthropicDonation
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
-
B.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
-
C.
philanthropicPledge
Indicates a commitment by an entity to donate resources, typically money or assets, for charitable or public-benefit purposes.
-
D.
donationStyle
Indicates the characteristic manner or approach with which a donation is given or carried out.
-
E.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
- F. None of above. chosen
Provenance (4 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e891030819097f4a26992a8b469 |
completed | March 31, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:53 p.m.