Triple
T7052327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charity Commission for England and Wales |
E163995
|
entity |
| Predicate | canOpen |
P25726
|
FINISHED |
| Object | statutory inquiries into charities |
—
|
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: statutory inquiries into charities | Statement: [Charity Commission for England and Wales, canOpen, statutory inquiries into charities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOpen Context triple: [Charity Commission for England and Wales, canOpen, statutory inquiries into charities]
-
A.
canBeOpenedBy
chosen
Indicates that one entity has the ability or permission to open another entity.
-
B.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
C.
canOpenFileLocation
Indicates that an entity has the capability to open the location (e.g., folder or directory) where a specified file is stored.
-
D.
notOpenAs
Indicates that one entity is explicitly not used, treated, or interpreted in the role, format, or capacity specified by another entity.
-
E.
accessibleOn
Indicates that one entity can be reached, used, or obtained through another entity (such as a platform, device, or medium).
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.