Triple
T35038761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis University Airport |
E1011003
|
entity |
| Predicate | hasAcademicProgramSupport |
P108930
|
FINISHED |
| Object | aviation flight programs |
—
|
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: aviation flight programs | Statement: [Lewis University Airport, hasAcademicProgramSupport, aviation flight programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicProgramSupport Context triple: [Lewis University Airport, hasAcademicProgramSupport, aviation flight programs]
-
A.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
B.
associatedWithAcademicProgram
chosen
Indicates that an entity has a formal connection or linkage to a specific academic program.
-
C.
hasEducationalSupportIn
Indicates that an entity receives or is provided with educational support within a specified context, location, or setting.
-
D.
hasInstitutionalSupport
Indicates that an entity receives backing, endorsement, or resources from an established institution or organization.
-
E.
hasAcademicStudent
Indicates that an academic advisor, mentor, or supervisor has a student under their academic guidance or supervision.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:01 p.m.