Triple
T1020147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glasgow Caledonian University |
E22020
|
entity |
| Predicate | hasColours |
P19185
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Glasgow Caledonian University, hasColours, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColours Context triple: [Glasgow Caledonian University, hasColours, blue]
-
A.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
C.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
hasSchoolColours
chosen
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.