Triple
T16146026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worldwide Campus |
E391782
|
entity |
| Predicate | hasParentInstitutionFocus |
P121314
|
FINISHED |
| Object | aeronautical 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 education | Statement: [Worldwide Campus, hasParentInstitutionFocus, aeronautical education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentInstitutionFocus Context triple: [Worldwide Campus, hasParentInstitutionFocus, aeronautical education]
-
A.
hasInstitutionalFocus
Indicates that an entity is oriented toward, concerned with, or primarily engaged in matters related to a particular institution or type of institution.
-
B.
parentInstitution
Indicates that one institution is the higher-level or owning organization to which another institution is subordinate or affiliated.
-
C.
stateOfParentInstitution
Indicates the current condition or status of the institution that serves as the parent or governing body of another entity.
-
D.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
E.
hasPrimaryInstitutionType
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
- 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.