Triple
T16686606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIBA Awards |
E405477
|
entity |
| Predicate | notableRegionSystem |
P668
|
FINISHED |
| Object | RIBA regional awards system in England |
—
|
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: RIBA regional awards system in England | Statement: [RIBA Awards, notableRegionSystem, RIBA regional awards system in England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRegionSystem Context triple: [RIBA Awards, notableRegionSystem, RIBA regional awards system in England]
-
A.
notableInRegion
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
B.
notableStyleRegion
Indicates that a particular style, manner, or artistic approach is especially characteristic of or prominent within a specific geographic region.
-
C.
notableSystem
chosen
Indicates that a system is recognized as significant, prominent, or noteworthy in a particular context or domain.
-
D.
notableRegionOfSettlement
Indicates that a specified region is a significant or prominent place where an entity is or has been settled.
-
E.
notableExplorationRegion
Indicates that an entity is recognized for significant exploration activities or discoveries within a particular geographic region.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea63b7081908a055036172f9683 |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.