Triple
T23394934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belmont College for Young Women |
E559329
|
entity |
| Predicate | campusContinuityWith |
P147692
|
FINISHED |
| Object | Belmont University |
—
|
NE NERFINISHED |
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: Belmont University | Statement: [Belmont College for Young Women, campusContinuityWith, Belmont University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusContinuityWith Context triple: [Belmont College for Young Women, campusContinuityWith, Belmont University]
-
A.
campusContinuesAs
chosen
Indicates that one campus location or institution persists, evolves, or is carried forward as another campus in a subsequent form or time.
-
B.
campusSystem
Indicates a relationship where an educational institution is part of, managed by, or operates within a particular campus system or network.
-
C.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
D.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
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.
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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4db1c888190ace5d58bcc8645c1 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:36 p.m.