Triple
T381137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His Majesty's Stationery Office |
E8680
|
entity |
| Predicate | dissolvedType |
P133
|
FINISHED |
| Object | privatisation of publishing functions |
—
|
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: privatisation of publishing functions | Statement: [His Majesty's Stationery Office, dissolvedType, privatisation of publishing functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dissolvedType Context triple: [His Majesty's Stationery Office, dissolvedType, privatisation of publishing functions]
-
A.
dissolved
Indicates that one substance has been mixed into another so thoroughly that it forms a uniform solution and is no longer distinguishable as a separate phase.
-
B.
dissolvedOrAbolished
chosen
Indicates that an organization, institution, or formal entity has been officially terminated, disbanded, or ceased to exist.
-
C.
solutionType
Indicates the specific category or kind of solution associated with an entity or problem.
-
D.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
E.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.