Triple
T26332124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McKendree College |
E662415
|
entity |
| Predicate | isOldestCollegeIn |
P17232
|
FINISHED |
| Object | Illinois |
—
|
NE NERFINISHED |
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: Illinois | Statement: [McKendree College, isOldestCollegeIn, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestCollegeIn Context triple: [McKendree College, isOldestCollegeIn, Illinois]
-
A.
oldestCollegeOf
chosen
Indicates that one entity is the oldest college associated with, or within, another entity (such as a university or region).
-
B.
isOldestCollegeLibraryOf
Indicates that one entity is the oldest existing college library associated with the other entity.
-
C.
oldestPrivateCollegeIn
Indicates that a college is the oldest privately founded higher-education institution located within a specified geographic area.
-
D.
earliestCollegeFoundedInYear
Indicates that the referenced college is the first (earliest founded) college established in the specified year.
-
E.
isLargestCollegeAt
Indicates that one college is the largest (typically by enrollment, size, or capacity) among all colleges at a particular institution or location.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f69fd248190bb747dde86643732 |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:34 p.m.