Triple
T31963521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtown Campus |
E816108
|
entity |
| Predicate | hasCampusNetwork |
P2465
|
FINISHED |
| Object | Western Connecticut State University campus network |
—
|
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: Western Connecticut State University campus network | Statement: [Midtown Campus, hasCampusNetwork, Western Connecticut State University campus network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusNetwork Context triple: [Midtown Campus, hasCampusNetwork, Western Connecticut State University campus network]
-
A.
usesCampusNetwork
Indicates that one entity accesses or relies on the campus-provided network infrastructure or services.
-
B.
hasCampusCommunity
Indicates that an institution or location possesses an associated campus-based community or group of people connected to it.
-
C.
hasCampusFeature
chosen
Indicates that a campus possesses or includes a specific physical or functional feature.
-
D.
hasSurfaceCampus
Indicates that one entity (typically an institution) maintains a physical campus or site located on the surface of another entity (such as a planet or celestial body).
-
E.
hasCampusState
Indicates that an institution’s campus is located within a specified state or state-level administrative region.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 1, 2026, 12:09 a.m.