Triple
T12484971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends of Vista House |
E298405
|
entity |
| Predicate | hasFundraisingMethod |
P54075
|
FINISHED |
| Object | donations |
—
|
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: donations | Statement: [Friends of Vista House, hasFundraisingMethod, donations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFundraisingMethod Context triple: [Friends of Vista House, hasFundraisingMethod, donations]
-
A.
usesFundraisingMethod
chosen
Indicates that one entity employs or applies a particular fundraising method as its means of raising funds.
-
B.
donationPlatform
Indicates a relationship where an entity serves as the platform or service through which a donation is made or processed.
-
C.
usedOnlineFundraising
Indicates that an entity has engaged in raising money via internet-based fundraising platforms or campaigns.
-
D.
raisedMoneyFor
Indicates that one entity collected or obtained funds specifically to support or benefit another entity, cause, or purpose.
-
E.
tributeMethod
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.