Triple
T31634773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaedon LeDee |
E807283
|
entity |
| Predicate | hasCollegeAffiliation |
P467
|
FINISHED |
| Object | San Diego State University athletics |
E30914
|
NE 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: San Diego State University athletics | Statement: [Jaedon LeDee, hasCollegeAffiliation, San Diego State University athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeAffiliation Context triple: [Jaedon LeDee, hasCollegeAffiliation, San Diego State University athletics]
-
A.
hasAcademicAffiliation
chosen
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
B.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
-
C.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
D.
hasCollegeService
Indicates that an entity provides or is associated with a service offered by a college or higher-education institution.
-
E.
hasAffiliatedSchoolsIn
Indicates that an entity maintains formal affiliations or partnerships with schools located in a specified place or region.
- F. None of above.
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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0302d9d2d88190b20429530775b035 |
completed | May 12, 2026, 10:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b79d88bf081908e461289dea714cb |
completed | June 12, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_6a0302289128819085428f3d544c2fb9 |
completed | May 12, 2026, 10:34 a.m. |
Created at: April 30, 2026, 10:46 p.m.