Triple
T34798909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Commonwealth University Athletics Department |
E1003162
|
entity |
| Predicate | colorsManaged |
P182443
|
FINISHED |
| Object | black and gold |
—
|
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: black and gold | Statement: [Virginia Commonwealth University Athletics Department, colorsManaged, black and gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorsManaged Context triple: [Virginia Commonwealth University Athletics Department, colorsManaged, black and gold]
-
A.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
B.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
C.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
D.
colorStates
Indicates that an entity has or is associated with one or more specific color conditions or statuses.
-
E.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 3:59 p.m.