Triple
T1698667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Cornwall |
E36717
|
entity |
| Predicate | incomeUsedFor |
P31294
|
FINISHED |
| Object | official duties of the Prince of Wales |
—
|
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: official duties of the Prince of Wales | Statement: [Duchy of Cornwall, incomeUsedFor, official duties of the Prince of Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incomeUsedFor Context triple: [Duchy of Cornwall, incomeUsedFor, official duties of the Prince of Wales]
-
A.
incomeType
Indicates the category or source classification of an entity’s income within a given context.
-
B.
usedInTaxPayments
Indicates that something is employed or applied as part of making or fulfilling tax payments.
-
C.
incomeCounted
Indicates that a specified amount of income is included in a particular calculation, assessment, or determination (such as eligibility, benefits, or totals).
-
D.
economicUse
Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
-
E.
incomeMeasure
Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf16865488190a76577b36760dc7a |
completed | March 6, 2026, 3:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.