Triple
T9908649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaGuardia Community College |
E185081
|
entity |
| Predicate | supportsStudentType |
P55187
|
FINISHED |
| Object | first-generation college students |
—
|
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: first-generation college students | Statement: [LaGuardia Community College, supportsStudentType, first-generation college students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStudentType Context triple: [LaGuardia Community College, supportsStudentType, first-generation college students]
-
A.
supportsInstitutionType
Indicates that one entity provides backing, resources, or endorsement specifically for a particular type or category of institution.
-
B.
supportsParticipantType
Indicates that an entity is compatible with, or designed to work with, a specified type or category of participant.
-
C.
supportsUserType
chosen
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
-
D.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
E.
hasStudentCategory
Indicates that an entity is classified under a specific category or type of student.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50feb008190aa9c084f590c0ebd |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.