Triple
T3512064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Antigua and Barbuda |
E74217
|
entity |
| Predicate | establishedAsOffice |
P1839
|
FINISHED |
| Object | upon independence of Antigua and Barbuda |
—
|
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: upon independence of Antigua and Barbuda | Statement: [King of Antigua and Barbuda, establishedAsOffice, upon independence of Antigua and Barbuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsOffice Context triple: [King of Antigua and Barbuda, establishedAsOffice, upon independence of Antigua and Barbuda]
-
A.
establishedOffice
chosen
Indicates that an entity created or set up an official office or place of operation.
-
B.
establishedAs
Indicates that one entity is formally created, designated, or recognized in a particular role, status, or identity as another entity.
-
C.
establishesOrgan
Indicates that an entity creates, founds, or sets up an organization or institutional body.
-
D.
establishedTo
Indicates that one entity was created, founded, or set up for the purpose of serving, supporting, or enabling another entity.
-
E.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc10b6b48190bedfed6d34afc425 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.