Triple
T26797977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters Outdoor Quilt Show |
E671012
|
entity |
| Predicate | hasVolunteerSupport |
P138783
|
FINISHED |
| Object | community 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: community volunteers | Statement: [Sisters Outdoor Quilt Show, hasVolunteerSupport, community volunteers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolunteerSupport Context triple: [Sisters Outdoor Quilt Show, hasVolunteerSupport, community volunteers]
-
A.
hasVolunteerBase
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
-
B.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
C.
hasVolunteerCount
Indicates the number of volunteers associated with a particular entity or activity.
-
D.
usesVolunteers
chosen
Indicates that an entity relies on or engages volunteers to perform its activities or services.
-
E.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 4:21 a.m.