Triple
T8151160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Atlantic Prep League |
E190335
|
entity |
| Predicate | memberSchoolType |
P19184
|
FINISHED |
| Object | independent schools |
—
|
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: independent schools | Statement: [Mid-Atlantic Prep League, memberSchoolType, independent schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberSchoolType Context triple: [Mid-Atlantic Prep League, memberSchoolType, independent schools]
-
A.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
-
B.
partnerSchool
Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
-
C.
hasSchoolCategory
chosen
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
-
D.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
E.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4483799c81908e73f9a87ed99185 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.