Triple
T37693535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nationality and Borders Act 2022 |
E938868
|
entity |
| Predicate | sponsoringDepartment |
P189138
|
FINISHED |
| Object | Home Office |
—
|
NE NERFINISHED |
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: Home Office | Statement: [Nationality and Borders Act 2022, sponsoringDepartment, Home Office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsoringDepartment Context triple: [Nationality and Borders Act 2022, sponsoringDepartment, Home Office]
-
A.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
B.
propDepartment
Indicates that one entity functions as a department or organizational subdivision associated with another entity.
-
C.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
-
D.
motherDepartment
Indicates that one department is the parent or higher-level organizational unit of another department.
-
E.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
- F. None of above. chosen
Provenance (4 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.