Triple
T6081431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Oak Schools |
E135530
|
entity |
| Predicate | servesEducationalLevels |
P177
|
FINISHED |
| Object | elementary education |
—
|
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 education | Statement: [Royal Oak Schools, servesEducationalLevels, elementary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesEducationalLevels Context triple: [Royal Oak Schools, servesEducationalLevels, elementary education]
-
A.
servesGradeLevels
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
B.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
C.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
D.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
-
E.
governsLevelOfEducation
Indicates that one entity has authority or control over determining the level or standard of education provided to another entity.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05774bc948190a446b27e83f7079b |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.