Triple
T29537982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experience Corps |
E749402
|
entity |
| Predicate | volunteerAgeGroup |
P108861
|
FINISHED |
| Object | 50 and older |
—
|
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: 50 and older | Statement: [Experience Corps, volunteerAgeGroup, 50 and older]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volunteerAgeGroup Context triple: [Experience Corps, volunteerAgeGroup, 50 and older]
-
A.
volunteersAgeRequirement
Indicates that there is a minimum or specific age condition that must be met in order for someone to be eligible to volunteer.
-
B.
hasAdultVolunteers
Indicates that an entity is associated with one or more adult individuals who volunteer their time or services for it.
-
C.
volunteerLabel
Indicates that an entity is identified or tagged as a volunteer in relation to another entity or context.
-
D.
ageGroupInvolved
chosen
Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
-
E.
typeOfVolunteerUnit
Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cc8f3b481909d2c65c0acffb2ad |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5 p.m.