Triple
T2370343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaverton School District |
E46073
|
entity |
| Predicate | operatesTypeOfSchool |
P177
|
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: [Beaverton School District, operatesTypeOfSchool, elementary school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesTypeOfSchool Context triple: [Beaverton School District, operatesTypeOfSchool, 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
Indicates that an entity manages and runs the activities or services of an institution.
-
C.
operatesInSchoolYearSystem
Indicates that an entity functions according to, or is organized around, a specific school year calendar or system.
-
D.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
E.
educationType
chosen
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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76f5aec8190867d621e6849258c |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.