Triple
T32247039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese American professional associations |
E823777
|
entity |
| Predicate | oftenRegisteredAs |
P176960
|
FINISHED |
| Object | 501(c)(3) 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: 501(c)(3) nonprofit organization | Statement: [Vietnamese American professional associations, oftenRegisteredAs, 501(c)(3) nonprofit organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenRegisteredAs Context triple: [Vietnamese American professional associations, oftenRegisteredAs, 501(c)(3) nonprofit organization]
-
A.
officialRegisterOf
Indicates that one entity serves as the authoritative, formally maintained record or registry for another entity.
-
B.
registrationOf
chosen
Indicates that one entity is the formal record or enrollment of another entity in an official system, registry, or process.
-
C.
registeredAt
Indicates that an entity has officially enrolled, signed up, or been recorded in a system, organization, or event at a specific place or time.
-
D.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
E.
oftenBroadcastAs
Indicates that something is frequently transmitted or aired through a broadcast medium under a particular form, title, or version.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 1, 2026, 12:40 a.m.