Triple
T27990362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woldgate, East Yorkshire |
E706852
|
entity |
| Predicate | hasSubjectMatterRoleIn |
P189328
|
FINISHED |
| Object | landscape painting |
—
|
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: landscape painting | Statement: [Woldgate, East Yorkshire, hasSubjectMatterRoleIn, landscape painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectMatterRoleIn Context triple: [Woldgate, East Yorkshire, hasSubjectMatterRoleIn, landscape painting]
-
A.
hasBeenSubjectOf
Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
-
B.
roleInMatter
chosen
Indicates that an entity holds a specific role or capacity in relation to a particular matter, case, or issue.
-
C.
mayBeSubjectOf
Indicates that an entity has the potential or possibility to serve as the subject in a given relation, event, or statement.
-
D.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
E.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 7:49 p.m.