Triple
T8835145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université du Québec en Outaouais |
E210247
|
entity |
| Predicate | hasInstitutionalColor |
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: [Université du Québec en Outaouais, hasInstitutionalColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalColor Context triple: [Université du Québec en Outaouais, hasInstitutionalColor, blue]
-
A.
hasSchoolColours
chosen
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
-
B.
hasFlagshipInstitution
Indicates that one entity serves as the primary or leading institution associated with another entity, such as an organization, system, or network.
-
C.
hasHomeJerseyColor
Indicates that an entity’s home jersey is characterized by a specified color.
-
D.
hasDerbyColor
Indicates that one entity (typically a derby or race event) is associated with a specific color used to represent or identify it.
-
E.
hasHomeUniformTrimColor
Indicates that an entity’s home uniform features a specified trim or accent color.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60686cac8190b3138db40b6fe058 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.