Triple
T11042394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Dental Association |
E261048
|
entity |
| Predicate | nonprofitStatusCode |
P13548
|
FINISHED |
| Object | 501(c)(6) |
—
|
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: 501(c)(6) | Statement: [American Dental Association, nonprofitStatusCode, 501(c)(6)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonprofitStatusCode Context triple: [American Dental Association, nonprofitStatusCode, 501(c)(6)]
-
A.
nonprofitStatus
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
B.
philanthropicOrganizationStatus
Indicates that an entity holds a recognized status as a philanthropic or charitable organization, typically for the purpose of public-benefit activities.
-
C.
hasNonprofitSteward
Indicates that an entity is overseen, managed, or cared for by a nonprofit organization acting as its steward.
-
D.
nonprofitType
chosen
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
-
E.
organizationalStatus
Indicates the current state or condition of an organization within a defined context, such as its operational, legal, or membership status.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7980134c8819098122d83380a1f79 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.