Triple
T29202696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aventura, Florida |
E740321
|
entity |
| Predicate | hasCharterSchool |
P185949
|
FINISHED |
| Object | Don Soffer Aventura High School |
—
|
NE NERFINISHED |
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: Don Soffer Aventura High School | Statement: [Aventura, Florida, hasCharterSchool, Don Soffer Aventura High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharterSchool Context triple: [Aventura, Florida, hasCharterSchool, Don Soffer Aventura High School]
-
A.
hasPublicCharterSchoolSystem
Indicates that a jurisdiction operates a publicly funded charter school system as part of its education infrastructure.
-
B.
hasCharter
Indicates that an entity possesses, is governed by, or operates under a formal charter or foundational document.
-
C.
hasAlternativeSchool
Indicates that an entity is associated with another school option that can serve as a substitute or backup to the primary school.
-
D.
hasCharterStatus
Indicates that an entity possesses a specific charter designation or status granted by an authoritative body.
-
E.
hasSchoolDistricts
Indicates that one entity administers, contains, or is associated with one or more school districts.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: April 28, 2026, 12:07 p.m.