Triple
T13541831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Service Organizations |
E323405
|
entity |
| Predicate | usesVolunteersFor |
P11190
|
FINISHED |
| Object | staffing centers |
—
|
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: staffing centers | Statement: [United Service Organizations, usesVolunteersFor, staffing centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVolunteersFor Context triple: [United Service Organizations, usesVolunteersFor, staffing centers]
-
A.
volunteeredFor
Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
-
B.
typeOfVolunteerUnit
Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
-
C.
hasVolunteerProgram
chosen
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
D.
hasCommunityService
Indicates that an entity is associated with, participates in, or is subject to community service activities or obligations.
-
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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.