Triple
T26589990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIC |
E667323
|
entity |
| Predicate | accreditedInCountry |
P37942
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [RIC, accreditedInCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accreditedInCountry Context triple: [RIC, accreditedInCountry, United States]
-
A.
countryOfAccreditation
chosen
Indicates the country in which an entity (such as a diplomat, embassy, or representative) is officially accredited or recognized to operate.
-
B.
accreditedTo
Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
-
C.
wasAccreditedIn
Indicates that an entity received official accreditation or certification in a specified year, date, or time period.
-
D.
countryOfRecognition
Indicates the country that formally recognizes, acknowledges, or grants official status to a given entity.
-
E.
accreditationRegion
Indicates the geographic or jurisdictional area within which an accreditation is valid or recognized.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 2:07 a.m.