Triple
T4240577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litchfield Law School |
E95400
|
entity |
| Predicate | hasStudentOrigin |
P33473
|
FINISHED |
| Object | multiple U.S. states |
—
|
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: multiple U.S. states | Statement: [Litchfield Law School, hasStudentOrigin, multiple U.S. states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentOrigin Context triple: [Litchfield Law School, hasStudentOrigin, multiple U.S. states]
-
A.
studentOrigin
chosen
Indicates that a student originates from, or is associated with, a particular place, institution, or source.
-
B.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
C.
campusOrigin
Indicates that one entity originates from, was founded at, or initially established on the campus represented by the other entity.
-
D.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e77fb5c8190b298818acb68ff63 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.