Triple
T910678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomona College |
E19649
|
entity |
| Predicate | studentPopulationLevel |
P21454
|
FINISHED |
| Object | small |
—
|
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 | Statement: [Pomona College, studentPopulationLevel, small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentPopulationLevel Context triple: [Pomona College, studentPopulationLevel, small]
-
A.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
-
B.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
C.
undergraduateEnrollment
Indicates the number of undergraduate students enrolled in an institution or program.
-
D.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
E.
hasNumberOfStudentAthletes
Indicates the relationship that specifies how many student athletes are associated with a given entity.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:39 p.m.