Triple
T7849901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Phoenix campus |
E182017
|
entity |
| Predicate | campusNetworkRole |
P79358
|
FINISHED |
| Object | specialized professional programs hub |
—
|
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: specialized professional programs hub | Statement: [Downtown Phoenix campus, campusNetworkRole, specialized professional programs hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusNetworkRole Context triple: [Downtown Phoenix campus, campusNetworkRole, specialized professional programs hub]
-
A.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
C.
hasCollegeSystemRole
Indicates that an entity holds a specific role or position within a college’s organizational or system structure.
-
D.
campusUsedBy
Indicates that a particular campus is utilized or occupied by a specified group, organization, or set of entities.
-
E.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
- F. None of above. chosen
Provenance (4 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e989ac819090e459b77d8932d3 |
completed | March 31, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:50 p.m.