Triple
T1656548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton, Tennessee |
E35811
|
entity |
| Predicate | Bryan College |
P13918
|
FINISHED |
| Object | Christian 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: Christian liberal arts college | Statement: [Dayton, Tennessee, Bryan College, Christian liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Bryan College Context triple: [Dayton, Tennessee, Bryan College, Christian liberal arts college]
-
A.
isCollegeTownOf
Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
-
B.
seminaryName
Indicates the name assigned to a seminary institution.
-
C.
universityLocatedIn
chosen
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
D.
isLargestCollegeAt
Indicates that one college is the largest (typically by enrollment, size, or capacity) among all colleges at a particular institution or location.
-
E.
isConstituentCollegeOf
Indicates that one educational institution functions as a constituent or affiliated college that forms part of a larger parent university or institution.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.