Triple
T4929958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIBA Part 1 |
E110669
|
entity |
| Predicate | typicalAward |
P26432
|
FINISHED |
| Object | Bachelor of Arts in Architecture |
—
|
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: Bachelor of Arts in Architecture | Statement: [RIBA Part 1, typicalAward, Bachelor of Arts in Architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAward Context triple: [RIBA Part 1, typicalAward, Bachelor of Arts in Architecture]
-
A.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
B.
typicalAwardType
chosen
Indicates the usual or most common type or category of award associated with a given entity or context.
-
C.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
D.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
E.
typicalAwardDate
Indicates the date on which an award is customarily or normally given or conferred.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd703a0fa48190809b6ac3f2731349 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.