Triple
T592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Academy of Arts and Sciences |
E11
|
entity |
| Predicate | nonProfitStatus |
P70
|
FINISHED |
| Object | nonprofit organization |
—
|
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: nonprofit organization | Statement: [American Academy of Arts and Sciences, nonProfitStatus, nonprofit organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonProfitStatus Context triple: [American Academy of Arts and Sciences, nonProfitStatus, nonprofit organization]
-
A.
nonprofitStatus
chosen
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
B.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
C.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
D.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
E.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
- 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_69a22735e1b081908bd0457057dcf086 |
completed | Feb. 27, 2026, 11:22 p.m. |
| NER | Named-entity recognition | batch_69a2304aaa2c8190ab7e8dd5da977c11 |
completed | Feb. 28, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69a22918087081909e717b8bee896e8f |
completed | Feb. 27, 2026, 11:30 p.m. |
Created at: Feb. 27, 2026, 11:24 p.m.