Triple
T3666565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwannee County School District |
E77771
|
entity |
| Predicate | operatesSchoolType |
P33435
|
FINISHED |
| Object | elementary school |
—
|
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: elementary school | Statement: [Suwannee County School District, operatesSchoolType, elementary school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesSchoolType Context triple: [Suwannee County School District, operatesSchoolType, elementary school]
-
A.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
B.
operatesInstitution
chosen
Indicates that an entity manages and runs the activities or services of an institution.
-
C.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
D.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
E.
operatesInSchoolYearSystem
Indicates that an entity functions according to, or is organized around, a specific school year calendar or system.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc40188988190b1b7ac9c8240a5ff |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.