Triple
T32125865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyle Conder |
E820498
|
entity |
| Predicate | sportsDepartment |
P82651
|
FINISHED |
| Object | CSU Bakersfield Roadrunners athletics program |
—
|
NE NERFINISHED |
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: CSU Bakersfield Roadrunners athletics program | Statement: [Kyle Conder, sportsDepartment, CSU Bakersfield Roadrunners athletics program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsDepartment Context triple: [Kyle Conder, sportsDepartment, CSU Bakersfield Roadrunners athletics program]
-
A.
sportSection
Indicates that something belongs to, appears in, or is categorized under the sports section of a larger collection or publication.
-
B.
sportsTenant
Indicates that one entity occupies or uses a sports facility or venue as a tenant under some form of agreement or arrangement.
-
C.
hasSportsDepartment
chosen
Indicates that an entity includes or maintains a department dedicated to sports-related activities or programs.
-
D.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
E.
sportsCluster
Indicates that the entities are grouped together based on a shared association with sports, such as similar sports-related characteristics, activities, or 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.