Triple
T13497773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UC Master Food Preserver Program |
E320804
|
entity |
| Predicate | volunteersCalled |
P6049
|
FINISHED |
| Object | UC Master Food Preserver volunteers |
—
|
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: UC Master Food Preserver volunteers | Statement: [UC Master Food Preserver Program, volunteersCalled, UC Master Food Preserver volunteers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volunteersCalled Context triple: [UC Master Food Preserver Program, volunteersCalled, UC Master Food Preserver volunteers]
-
A.
receivedVolunteersFrom
Indicates that one entity accepted or was provided with volunteers originating from another entity.
-
B.
membersCalled
chosen
Indicates that specific members of a group or collection are being referred to or identified by a particular name or label.
-
C.
volunteeredFor
Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
-
D.
supportersCalled
Indicates that one party telephoned or attempted to telephone their supporters.
-
E.
hasAdultVolunteers
Indicates that an entity is associated with one or more adult individuals who volunteer their time or services for it.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.