Triple
T1140291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Rail and Road |
E23433
|
entity |
| Predicate | governmentOfficeType |
P18993
|
FINISHED |
| Object | non-ministerial department of the UK government |
—
|
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: non-ministerial department of the UK government | Statement: [Office of Rail and Road, governmentOfficeType, non-ministerial department of the UK government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentOfficeType Context triple: [Office of Rail and Road, governmentOfficeType, non-ministerial department of the UK government]
-
A.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
B.
governmentBranch
Indicates that one entity functions as an official division or branch within the structure of a government.
-
C.
typeOfMinistry
Indicates the specific category or kind of ministry that an entity belongs to or represents.
-
D.
typeOfOffice
chosen
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
E.
governmentCenter
Indicates that a location serves as the primary administrative or political hub for a government or governing body.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.