Triple
T7332072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Three |
E169025
|
entity |
| Predicate | memberInstitutionSize |
P26524
|
FINISHED |
| Object | small undergraduate enrollment |
—
|
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 undergraduate enrollment | Statement: [Little Three, memberInstitutionSize, small undergraduate enrollment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberInstitutionSize Context triple: [Little Three, memberInstitutionSize, small undergraduate enrollment]
-
A.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
-
B.
membershipSizePerSociety
Indicates the number of members associated with each society.
-
C.
hasFacultySizeApprox
Indicates that an institution has an approximate number of faculty members equal to the specified value.
-
D.
hasAlumniNetworkSize
Indicates the size or extent of the alumni network associated with an entity.
-
E.
memberInstitutionCharacteristic
chosen
Indicates that a specific characteristic or attribute is associated with a member institution within a larger organization or system.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:03 p.m.