Triple
T7221852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of State for Business, Energy and Industrial Strategy |
E150277
|
entity |
| Predicate | abolishedYear |
P3903
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [Secretary of State for Business, Energy and Industrial Strategy, abolishedYear, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abolishedYear Context triple: [Secretary of State for Business, Energy and Industrial Strategy, abolishedYear, 2023]
-
A.
dateAbolished
chosen
Indicates the date on which something (such as an institution, law, practice, or position) was officially ended or abolished.
-
B.
abolishedDuring
Indicates that an entity or practice ceased to exist or was officially ended within the time period defined by another entity.
-
C.
abolishedAfter
Indicates that one entity was abolished at a later time than another entity was abolished.
-
D.
monarchyAbolishedIn
Indicates that a monarchy was officially ended or abolished in a specified place or at a specified time.
-
E.
dictatorshipEndYear
Indicates the calendar year in which a particular dictatorship or dictatorial regime came to an end.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b42c5c81908c405f161c35ffb4 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:54 p.m.