Triple
T30237048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezmialem Kadın |
E768799
|
entity |
| Predicate | typeOfCharitableActivity |
P159646
|
FINISHED |
| Object | healthcare endowments |
—
|
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: healthcare endowments | Statement: [Bezmialem Kadın, typeOfCharitableActivity, healthcare endowments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCharitableActivity Context triple: [Bezmialem Kadın, typeOfCharitableActivity, healthcare endowments]
-
A.
charityCategory
chosen
Indicates the specific type or classification of charitable activity or purpose associated with an entity.
-
B.
areaOfCharitableActivity
Indicates the specific domain or field in which a charitable organization conducts its activities or provides its services.
-
C.
refersToCharitableActivity
Indicates that one entity is referencing, describing, or is associated with a charitable activity or act of giving.
-
D.
hasCharitableFunction
Indicates that an entity performs or is designated to perform activities intended for charitable purposes or public benefit.
-
E.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
Created at: April 29, 2026, 7:37 p.m.