Triple
T24330419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheringham High School |
E613224
|
entity |
| Predicate | hasCoeducationType |
P12428
|
FINISHED |
| Object | coeducational |
—
|
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: coeducational | Statement: [Sheringham High School, hasCoeducationType, coeducational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoeducationType Context triple: [Sheringham High School, hasCoeducationType, coeducational]
-
A.
hasCoeducation
chosen
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
successorInstitutionCoeducational
Indicates that the successor institution operates on a coeducational basis, admitting and educating students of more than one gender.
-
C.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
D.
someMembersNowCoeducational
Indicates that at least some members of the referenced group or organization have transitioned to a coeducational status, admitting or including more than one gender.
-
E.
transitionedToCoed
Indicates that an institution or group changed its status from single-gender to coeducational, allowing participation by all genders.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f0539081908f2d1769ad122572 |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:55 a.m.