Triple
T8100654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleming College |
E189099
|
entity |
| Predicate | postSecondaryLevel |
P3392
|
FINISHED |
| Object | College level |
—
|
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: College level | Statement: [Fleming College, postSecondaryLevel, College level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postSecondaryLevel Context triple: [Fleming College, postSecondaryLevel, College level]
-
A.
secondaryCampus
Indicates that an institution or organization has an additional, non-primary campus located at a different site.
-
B.
college
chosen
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
C.
upperSecondaryEducationName
Indicates the specific name or title of a person's upper secondary level education program or qualification.
-
D.
post16Education
Indicates that an entity is engaged in or has received education beyond the age of 16, such as further or higher education.
-
E.
nearCollege
Indicates that one entity is located close to or in the vicinity of a college.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42ba9af88190b6310d799818e3d5 |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:31 p.m.