Triple
T30390958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue–Green Rivalry |
E773082
|
entity |
| Predicate | associatedWithInstitutionColor |
P92072
|
FINISHED |
| Object | UC Santa Barbara 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: UC Santa Barbara blue | Statement: [Blue–Green Rivalry, associatedWithInstitutionColor, UC Santa Barbara blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithInstitutionColor Context triple: [Blue–Green Rivalry, associatedWithInstitutionColor, UC Santa Barbara blue]
-
A.
colorAssociatedInstitution
chosen
Indicates that a particular color is characteristically linked or symbolically connected to an institution.
-
B.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
C.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
D.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
E.
associatedWithCurrentInstitutionName
Indicates that an entity has an affiliation or connection with the institution identified by the current institution name.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:02 p.m.