Triple
T3810024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hobart College |
E93108
|
entity |
| Predicate | classSizeEmphasis |
P51972
|
FINISHED |
| Object | small classes |
—
|
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 classes | Statement: [Hobart College, classSizeEmphasis, small classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classSizeEmphasis Context triple: [Hobart College, classSizeEmphasis, small classes]
-
A.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
B.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
C.
relativeSizeWithinUniversity
Indicates how the size of one entity compares to another within the context or boundaries of a specific university.
-
D.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
E.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:16 p.m.