Triple
T15136922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAC Men's Basketball Tournament |
E361577
|
entity |
| Predicate | collegeOrUniversityLevel |
P3392
|
FINISHED |
| Object | college |
—
|
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: college | Statement: [MAC Men's Basketball Tournament, collegeOrUniversityLevel, college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeOrUniversityLevel Context triple: [MAC Men's Basketball Tournament, collegeOrUniversityLevel, college]
-
A.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
B.
college
chosen
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
C.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
D.
higherEducationHub
Indicates a relationship where a place or entity functions as a central location or focal point for higher education activities, institutions, or services.
-
E.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b3f6f48190b1ed7c7b28feb7a6 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.