Triple
T8865933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didcot Girls' School |
E211017
|
entity |
| Predicate | coeducationalSixthForm |
P12428
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Didcot Girls' School, coeducationalSixthForm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coeducationalSixthForm Context triple: [Didcot Girls' School, coeducationalSixthForm, true]
-
A.
hasCoeducation
chosen
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
C.
compulsoryEducation
Indicates that an entity is legally required to participate in a specified level or period of formal education.
-
D.
upperSecondaryEducationName
Indicates the specific name or title of a person's upper secondary level education program or qualification.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6106d41081909db710bda8aaf6fd |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:51 p.m.