Triple
T37074488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regals |
E917670
|
entity |
| Predicate | usesColorsOfInstitution |
P67963
|
FINISHED |
| Object | California Lutheran University school colors |
—
|
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: California Lutheran University school colors | Statement: [Regals, usesColorsOfInstitution, California Lutheran University school colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColorsOfInstitution Context triple: [Regals, usesColorsOfInstitution, California Lutheran University school colors]
-
A.
colorAssociatedInstitution
Indicates that a particular color is characteristically linked or symbolically connected to an institution.
-
B.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
C.
usesSignageColorSystem
Indicates that an entity employs a specific color-based signage system to convey information, instructions, or guidance.
-
D.
corporateColor
Indicates the official color or color scheme that represents a corporation’s brand or identity.
-
E.
usesBrandColor
chosen
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:14 p.m.