Triple
T28482059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Collegiate Athletic Conference |
E720719
|
entity |
| Predicate | memberInstitutionProfile |
P26524
|
FINISHED |
| Object | small enrollment |
—
|
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: small enrollment | Statement: [Southern Collegiate Athletic Conference, memberInstitutionProfile, small enrollment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberInstitutionProfile Context triple: [Southern Collegiate Athletic Conference, memberInstitutionProfile, small enrollment]
-
A.
memberInstitutionCharacteristic
chosen
Indicates that a specific characteristic or attribute is associated with a member institution within a larger organization or system.
-
B.
memberInstitutionLocation
Indicates that a member institution is located in, or associated with, a specific geographic place or address.
-
C.
memberAcademicProfile
Indicates that an entity has or is associated with an academic profile belonging to a particular member.
-
D.
roleInInstitutions
Indicates that an entity holds or has held a specific role, position, or function within one or more institutions.
-
E.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 28, 2026, 2:56 a.m.