Triple
T33475216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Westbury campus |
E857300
|
entity |
| Predicate | campusOfInstitutionType |
P100569
|
FINISHED |
| Object | private research university |
—
|
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: private research university | Statement: [Old Westbury campus, campusOfInstitutionType, private research university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusOfInstitutionType Context triple: [Old Westbury campus, campusOfInstitutionType, private research university]
-
A.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
B.
campusOfUniversityType
chosen
Indicates that a campus belongs to, is part of, or is categorized under a particular type of university.
-
C.
campusAreaType
Indicates the classification of a campus area according to its type or functional category.
-
D.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
-
E.
campusDesignation
Indicates the formal classification or status assigned to a particular campus within an institution or system.
- 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:38 a.m.