Triple
T918214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZiMS Foundation |
E19818
|
entity |
| Predicate | raisesFundsThrough |
P154
|
FINISHED |
| Object | charity events |
—
|
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: charity events | Statement: [ZiMS Foundation, raisesFundsThrough, charity events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisesFundsThrough Context triple: [ZiMS Foundation, raisesFundsThrough, charity events]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
fundingSpeed
Indicates how quickly financial resources are provided or disbursed within a given funding relationship or process.
-
C.
funds
chosen
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
D.
tributeMethod
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
-
E.
raisedFrom
Indicates that one entity has been elevated, derived, or brought up from another prior state, source, or condition.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.