Triple
T381155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His Majesty's Stationery Office |
E8680
|
entity |
| Predicate | typeOfPublisher |
P641
|
FINISHED |
| Object | government publisher |
—
|
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: government publisher | Statement: [His Majesty's Stationery Office, typeOfPublisher, government publisher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPublisher Context triple: [His Majesty's Stationery Office, typeOfPublisher, government publisher]
-
A.
publisherType
chosen
Indicates the classification or category of a publisher in relation to a published work or entity.
-
B.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
C.
formerPublisher
Indicates that one entity previously served as the publisher of another entity but no longer holds that role.
-
D.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
-
E.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
- 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.