Triple
T5345122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department for Innovation, Universities and Skills |
E124035
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DIUS |
E124035
|
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: DIUS | Statement: [Department for Innovation, Universities and Skills, abbreviation, DIUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DIUS Context triple: [Department for Innovation, Universities and Skills, abbreviation, DIUS]
-
A.
DIUS
chosen
DIUS was a former UK government department responsible for higher education, innovation, and skills policy.
-
B.
DioND
DioND is the commonly used abbreviation for the Episcopal Diocese of North Dakota, a regional jurisdiction of the Episcopal Church in the United States.
-
C.
Drios
Drios is a coastal village on the Greek island of Paros, known for its traditional Cycladic character and proximity to popular beaches.
-
D.
Diois
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
-
E.
Dilios
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ea5e748190a9943de794e5c1ec |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c95ed0819084a9cdcaf5148988 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.