Triple
T27209654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goshen |
E683963
|
entity |
| Predicate | Goshen College instanceOf |
P162254
|
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: [Goshen, Goshen College instanceOf, private liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Goshen College instanceOf Context triple: [Goshen, Goshen College instanceOf, private liberal arts college]
-
A.
SienaCollegeType
Indicates that an entity is classified as a type or category associated with Siena College.
-
B.
exampleInstitution
Indicates that one entity serves as a representative or typical instance of an institution associated with another entity.
-
C.
religiousCampus
Indicates that a campus is affiliated with, governed by, or primarily dedicated to a particular religion or religious organization.
-
D.
isJesuitInstitution
Indicates that an institution is affiliated with, founded by, or operated under the auspices of the Jesuit (Society of Jesus) Catholic religious order.
-
E.
hasFlagshipCampusOf
Indicates that one location serves as the primary or main campus for a particular institution or organization.
- F. None of above. chosen
Provenance (4 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e8342c8190a809bfb169967a89 |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 9:39 a.m.