Triple
T31901413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxenhope Straw Race |
E814431
|
entity |
| Predicate | fundraisingType |
P54075
|
FINISHED |
| Object | sponsored race |
—
|
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: sponsored race | Statement: [Oxenhope Straw Race, fundraisingType, sponsored race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundraisingType Context triple: [Oxenhope Straw Race, fundraisingType, sponsored race]
-
A.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
-
B.
usesFundraisingMethod
chosen
Indicates that one entity employs or applies a particular fundraising method as its means of raising funds.
-
C.
charityCategory
Indicates the specific type or classification of charitable activity or purpose associated with an entity.
-
D.
donationPlatform
Indicates a relationship where an entity serves as the platform or service through which a donation is made or processed.
-
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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b168342481909e2e0d4fd99378d6 |
completed | May 3, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:59 p.m.