Triple
T8136298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil List |
E189976
|
entity |
| Predicate | typeOfExpense |
P71941
|
FINISHED |
| Object | civil government expenditure related to the Crown |
—
|
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: civil government expenditure related to the Crown | Statement: [Civil List, typeOfExpense, civil government expenditure related to the Crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfExpense Context triple: [Civil List, typeOfExpense, civil government expenditure related to the Crown]
-
A.
mainExpenditureCategory
Indicates the primary type or classification of spending to which a particular expenditure mainly belongs.
-
B.
expenditureFor
chosen
Indicates a relationship where a specific expenditure is made or allocated for a particular purpose, item, project, or entity.
-
C.
incomeUsedFor
Indicates that some or all of an income amount is allocated or spent for a specified purpose, activity, or recipient.
-
D.
expenditures
Indicates that an entity spends or allocates money or resources, typically specifying the amount, purpose, or category of that spending.
-
E.
incomeType
Indicates the category or source classification of an entity’s income within a given context.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.