Triple
T4538305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery College Rockville Campus |
E107462
|
entity |
| Predicate | studentLife |
P29527
|
FINISHED |
| Object | student clubs and organizations |
—
|
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: student clubs and organizations | Statement: [Montgomery College Rockville Campus, studentLife, student clubs and organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentLife Context triple: [Montgomery College Rockville Campus, studentLife, student clubs and organizations]
-
A.
campusLife
chosen
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
-
B.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
C.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
D.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
E.
studentBodyFocus
Indicates that the primary attention, concern, or efforts are directed toward the student body as a whole.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b8c4788190b35d110553013ff1 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.