Triple
T24742875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rams |
E618613
|
entity |
| Predicate | associatedCollegeType |
P69155
|
FINISHED |
| Object | private liberal arts 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: private liberal arts college | Statement: [Rams, associatedCollegeType, private liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCollegeType Context triple: [Rams, associatedCollegeType, private liberal arts college]
-
A.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
-
B.
hasCollegesType
chosen
Indicates that an entity is associated with or classified by a particular type or category of college.
-
C.
isConstituentCollegeOf
Indicates that one educational institution functions as a constituent or affiliated college that forms part of a larger parent university or institution.
-
D.
hasColleges
Indicates that an entity possesses, contains, or is associated with one or more colleges.
-
E.
servesCollege
Indicates that one entity provides services or support to a college as its client or beneficiary.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 4:18 a.m.