Triple
T36898023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffon |
E911948
|
entity |
| Predicate | spiritRepresentativeOf |
P129
|
FINISHED |
| Object | Missouri Western State University athletic teams |
—
|
NE NERFINISHED |
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: Missouri Western State University athletic teams | Statement: [Griffon, spiritRepresentativeOf, Missouri Western State University athletic teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spiritRepresentativeOf Context triple: [Griffon, spiritRepresentativeOf, Missouri Western State University athletic teams]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
C.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
-
D.
shadowRepresents
Indicates that one entity serves as the shadow or silhouette that visually corresponds to, or is cast by, another entity.
-
E.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd927e2c8190ae0b48443bdea664 |
completed | May 5, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.