Triple
T1587948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon University System |
E34108
|
entity |
| Predicate | numberOfUniversities |
P30022
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Oregon University System, numberOfUniversities, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUniversities Context triple: [Oregon University System, numberOfUniversities, 7]
-
A.
numberOfCampuses
Indicates the total count of campuses associated with a given entity.
-
B.
numberOfFaculties
Indicates the total count of faculties associated with a given entity.
-
C.
numberOfResidentialColleges
Indicates the quantity of residential colleges associated with a given entity.
-
D.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
-
E.
stateUniversity
Indicates that an institution is a university that is publicly funded and operated under the authority of a state or similar governmental entity.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93aec7dc481909375726fbfb9e272 |
completed | March 5, 2026, 8:12 a.m. |
Created at: March 4, 2026, 7:27 p.m.