Triple
T30905425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Ambassador to Saint Lucia |
E787285
|
entity |
| Predicate | alsoAccreditedTo |
P28948
|
FINISHED |
| Object | Barbados |
—
|
NE NERFINISHED |
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: Barbados | Statement: [United States Ambassador to Saint Lucia, alsoAccreditedTo, Barbados]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoAccreditedTo Context triple: [United States Ambassador to Saint Lucia, alsoAccreditedTo, Barbados]
-
A.
accreditedTo
Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
-
B.
mayAlsoBeAccreditedTo
chosen
Indicates that the credit or attribution for something can additionally be assigned to another entity beyond the primary one.
-
C.
providesAccreditationFor
Indicates that one entity formally grants or recognizes official accreditation or certification status for another entity.
-
D.
wasAccreditedIn
Indicates that an entity received official accreditation or certification in a specified year, date, or time period.
-
E.
accreditsThrough
Indicates that an entity grants or recognizes official accreditation by means of, or via the intermediary of, another entity or mechanism.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6927ecf6c81908f9a9b1380bc43fe |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.