Triple
T13707902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn State Brandywine |
E328690
|
entity |
| Predicate | hasCampusSizeCharacteristic |
P53
|
FINISHED |
| Object | small campus |
—
|
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: small campus | Statement: [Penn State Brandywine, hasCampusSizeCharacteristic, small campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusSizeCharacteristic Context triple: [Penn State Brandywine, hasCampusSizeCharacteristic, small campus]
-
A.
campusSize
chosen
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
B.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
C.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
D.
hasUniversityCampusArea
Indicates the total physical area occupied by a university’s campus.
-
E.
isMajorCampusFor
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad18d48c8190a26be865c31975d6 |
completed | April 13, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.