Triple
T21885936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Missouri State University |
E540402
|
entity |
| Predicate | ElectronicCampusFeature |
P2465
|
FINISHED |
| Object | provides laptops to 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: provides laptops to students | Statement: [Northwest Missouri State University, ElectronicCampusFeature, provides laptops to students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ElectronicCampusFeature Context triple: [Northwest Missouri State University, ElectronicCampusFeature, provides laptops to students]
-
A.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
B.
campusSystem
Indicates a relationship where an educational institution is part of, managed by, or operates within a particular campus system or network.
-
C.
hasCampusFeature
chosen
Indicates that a campus possesses or includes a specific physical or functional feature.
-
D.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
-
E.
bringsToCampus
Indicates that one entity transports or carries another entity to a campus location.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ec147481908903e2f24e049d8f |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.