Triple
T35299339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Mary’s Grammar School, Walsall |
E1019461
|
entity |
| Predicate | coeducationalInSixthForm |
P12428
|
FINISHED |
| Object | likely |
—
|
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: likely | Statement: [Queen Mary’s Grammar School, Walsall, coeducationalInSixthForm, likely]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coeducationalInSixthForm Context triple: [Queen Mary’s Grammar School, Walsall, coeducationalInSixthForm, likely]
-
A.
hasCoeducation
chosen
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
offersSixthForm
Indicates that an educational institution provides sixth form level education or programs.
-
C.
secondaryLevelOfEducation
Indicates that an entity has completed, is enrolled in, or is otherwise associated with secondary-level (high school or equivalent) education.
-
D.
upperSecondaryEducationName
Indicates the specific name or title of a person's upper secondary level education program or qualification.
-
E.
secondaryEducationAccess
Indicates that an entity has the opportunity, right, or ability to attend and participate in secondary-level 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f790206ce081909ead3399bf8d1013 |
completed | May 3, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.