Triple
T37803000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallington High School for Girls |
E942429
|
entity |
| Predicate | isNonCoeducational |
P189785
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wallington High School for Girls, isNonCoeducational, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCoeducational Context triple: [Wallington High School for Girls, isNonCoeducational, yes]
-
A.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
isNonPublicSchool
Indicates that a school operates as a private or otherwise non-public institution, not funded or administered as part of the public school system.
-
C.
isSecondaryEducationInstitution
Indicates that an entity functions as an institution providing secondary-level education (typically between primary and higher/tertiary education).
-
D.
isOnlyHighSchoolOn
Indicates that a high school is the sole high school located on a particular street, campus, or geographic area.
-
E.
isOnlyPublicSchoolIn
Indicates that a school is the single public school located within a specified geographic or administrative area.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:19 p.m.