Triple
T8653841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorary Fellowship of the Royal Institute of British Architects |
E205162
|
entity |
| Predicate | granteeType |
P84154
|
FINISHED |
| Object | non-architects |
—
|
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: non-architects | Statement: [Honorary Fellowship of the Royal Institute of British Architects, granteeType, non-architects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: granteeType Context triple: [Honorary Fellowship of the Royal Institute of British Architects, granteeType, non-architects]
-
A.
typeOfGrant
Indicates the specific category or kind of grant associated with an entity.
-
B.
grantType
Indicates the specific authorization or credential flow used to obtain access or permissions in a grant-based process.
-
C.
typeOfAuthorization
Indicates the specific kind or category of authorization that applies to an action, resource, or relationship between entities.
-
D.
permitType
Indicates the specific category or kind of permit associated with an entity or activity.
-
E.
typeOfProtectedResource
Indicates the specific category or kind of resource that is being protected within a given security or access-control context.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48432568819093b9a867b4f62b78 |
completed | March 31, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc473e44988190a3b02498e5fff668 |
completed | March 31, 2026, 10:14 p.m. |
Created at: March 30, 2026, 6:29 p.m.