Triple
T2946301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenway Campus |
E79509
|
entity |
| Predicate | hasStudentLifeUse |
P33110
|
FINISHED |
| Object | dining facilities |
—
|
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: dining facilities | Statement: [Fenway Campus, hasStudentLifeUse, dining facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentLifeUse Context triple: [Fenway Campus, hasStudentLifeUse, dining facilities]
-
A.
campusUse
chosen
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
B.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
C.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
D.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
E.
usesCourse
Indicates that one entity makes use of, applies, or relies on a particular course in some context or activity.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b3f86c819094526c2af611bfb5 |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.