Triple
T7532306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green School for Girls |
E178053
|
entity |
| Predicate | previousSchoolCategory |
P19184
|
FINISHED |
| Object | voluntary aided 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: voluntary aided school | Statement: [The Green School for Girls, previousSchoolCategory, voluntary aided school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSchoolCategory Context triple: [The Green School for Girls, previousSchoolCategory, voluntary aided school]
-
A.
previousSchoolSite
Indicates that one entity is the location or campus where another entity (typically a person or institution) was previously based or attended before moving to a new school site.
-
B.
hasSchoolCategory
chosen
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
-
C.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
-
D.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
-
E.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.