Triple
T16146063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagles |
E391783
|
entity |
| Predicate | focusOfUniversityRepresented |
P121315
|
FINISHED |
| Object | aeronautical and aerospace education |
—
|
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: aeronautical and aerospace education | Statement: [Eagles, focusOfUniversityRepresented, aeronautical and aerospace education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusOfUniversityRepresented Context triple: [Eagles, focusOfUniversityRepresented, aeronautical and aerospace education]
-
A.
universityRepresentedIs
Indicates that one entity serves as the official representative or embodiment of a particular university.
-
B.
representedUniversity
Indicates that one entity has formally acted on behalf of, or served as a representative of, a particular university.
-
C.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
D.
awayUniversity
Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
-
E.
studentBodyFocus
Indicates that the primary attention, concern, or efforts are directed toward the student body as a whole.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9376fc8190bd9ef586b00c1d3b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.