Triple
T24976562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raleigh Sports |
E625037
|
entity |
| Predicate | frameStyle |
P103426
|
FINISHED |
| Object | diamond frame |
—
|
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: diamond frame | Statement: [Raleigh Sports, frameStyle, diamond frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameStyle Context triple: [Raleigh Sports, frameStyle, diamond frame]
-
A.
frameShape
chosen
Indicates that one entity has the specified geometric or structural shape of a frame in relation to another entity.
-
B.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
C.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
D.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
E.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:02 a.m.