Triple
T19173279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razia Jan |
E469377
|
entity |
| Predicate | nonprofitTypeFounded |
P8556
|
FINISHED |
| Object | educational nonprofit |
—
|
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: educational nonprofit | Statement: [Razia Jan, nonprofitTypeFounded, educational nonprofit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonprofitTypeFounded Context triple: [Razia Jan, nonprofitTypeFounded, educational nonprofit]
-
A.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
-
B.
nonprofitStatus
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
C.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
D.
organizationTypeFounded
chosen
Indicates the type or category of organization that was established or created in a founding event.
-
E.
nonProfitContext
Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16544948190bd10ca7804dd27a5 |
completed | April 20, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.