Triple
T28683421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Chair (Boy Scouts of America) |
E726065
|
entity |
| Predicate | isVolunteerRole |
P31155
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [National Chair (Boy Scouts of America), isVolunteerRole, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVolunteerRole Context triple: [National Chair (Boy Scouts of America), isVolunteerRole, true]
-
A.
hasVolunteerStatus
chosen
Indicates that an entity holds a particular volunteer-related status or role within a specified context.
-
B.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
-
C.
typeOfVolunteerUnit
Indicates that one entity is a specific kind or category of volunteer unit in relation to another entity.
-
D.
volunteerLabel
Indicates that an entity is identified or tagged as a volunteer in relation to another entity or context.
-
E.
isNonProfitRole
Indicates that a role or position is associated with a nonprofit organization or activity rather than a for-profit context.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6567f9058819085754d42f495f9ec |
completed | May 2, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:10 a.m.