Triple
T34649201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Board of Governors |
E889785
|
entity |
| Predicate | higherEducationLevel |
P124790
|
FINISHED |
| Object | postsecondary |
—
|
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: postsecondary | Statement: [Florida Board of Governors, higherEducationLevel, postsecondary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherEducationLevel Context triple: [Florida Board of Governors, higherEducationLevel, postsecondary]
-
A.
higherEducationHub
Indicates a relationship where a place or entity functions as a central location or focal point for higher education activities, institutions, or services.
-
B.
hasHigherEducationType
chosen
Indicates that one entity has a specified type or category of higher education associated with it.
-
C.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
D.
educatedAt
Indicates that an entity received education or formal training at a specified institution or place of learning.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 1, 2026, 2:04 a.m.