Triple
T34651104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USOAS |
E889840
|
entity |
| Predicate | organizationTo |
P10090
|
FINISHED |
| Object | Organization of American States |
E898
|
NE 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: Organization of American States | Statement: [USOAS, organizationTo, Organization of American States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTo Context triple: [USOAS, organizationTo, Organization of American States]
-
A.
toOrganization
chosen
Indicates a relationship where something or someone is directed, transferred, or associated toward a specific organization as the destination or target.
-
B.
organOrganization
Indicates that an organ is structurally or functionally part of, or associated with, a specific organization or organizational system.
-
C.
publicOrganizationFor
Indicates that an entity serves as a public organization responsible for or associated with another entity (such as a service, activity, or domain).
-
D.
namespaceOrganization
Indicates that one entity serves as the organizing or owning authority for a particular namespace associated with another entity.
-
E.
organizationName
Indicates that an entity has a specific official name as an organization.
- F. None of above.
Provenance (4 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3748ec67488190999701b7a18cbd34 |
completed | June 21, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 2:04 a.m.