Triple
T7480213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University College Roosevelt |
E176732
|
entity |
| Predicate | hasHonorsStatus |
P38065
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University College Roosevelt, hasHonorsStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHonorsStatus Context triple: [University College Roosevelt, hasHonorsStatus, true]
-
A.
hasHonorsCollege
chosen
Indicates that an educational institution includes or is associated with an honors college program.
-
B.
graduatedWithHonors
Indicates that an entity completed an academic program with a distinction or honors-level achievement according to the institution’s criteria.
-
C.
isHonorSocietyFor
Indicates that an organization functions as an honor society specifically recognizing and serving the members of a particular group or field.
-
D.
hasNotableHonor
Indicates that an entity has received a significant award, title, or formal recognition of distinction.
-
E.
hasDistinction
Indicates that one entity possesses, is awarded, or is recognized with a special honor, title, or mark of excellence in relation to another entity or context.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.