Triple
T33058435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purdue University Aeronautical and Astronautical Engineering Alumni |
E845906
|
entity |
| Predicate | countryOfAlmaMater |
P308
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Purdue University Aeronautical and Astronautical Engineering Alumni, countryOfAlmaMater, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfAlmaMater Context triple: [Purdue University Aeronautical and Astronautical Engineering Alumni, countryOfAlmaMater, United States]
-
A.
usesAlmaMater
Indicates that one entity makes use of, relies on, or leverages the educational institution where another entity studied or graduated.
-
B.
countryOfStudy
Indicates that an entity pursued or is pursuing studies in the specified country.
-
C.
countryOfStud
Indicates that a person is studying or has studied in the specified country.
-
D.
countryOfInstitution
chosen
Indicates the country in which an institution is located or officially based.
-
E.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 1, 2026, 1:25 a.m.