Triple
T10867325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D&AD Black Pencil (for GOV.UK) |
E256558
|
entity |
| Predicate | recognizedWorkType |
P1366
|
FINISHED |
| Object | digital service design |
—
|
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: digital service design | Statement: [D&AD Black Pencil (for GOV.UK), recognizedWorkType, digital service design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedWorkType Context triple: [D&AD Black Pencil (for GOV.UK), recognizedWorkType, digital service design]
-
A.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
B.
identifiesWork
Indicates that one entity recognizes or specifies another entity as a particular work (such as a creative, scholarly, or professional output) associated with it.
-
C.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
D.
recognizedAs
Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
-
E.
originallyFromWorkType
Indicates that one entity was derived, adapted, or sourced from an original work of a specified type (e.g., book, film, artwork).
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516e15448190aefdba1aa635baea |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.