Triple
T11439810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottingham High School |
E271111
|
entity |
| Predicate | previousGenderAdmittance |
P14517
|
FINISHED |
| Object | boys-only |
—
|
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: boys-only | Statement: [Nottingham High School, previousGenderAdmittance, boys-only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousGenderAdmittance Context triple: [Nottingham High School, previousGenderAdmittance, boys-only]
-
A.
formerGenderAdmission
chosen
Indicates that an institution previously admitted a particular gender but no longer does so.
-
B.
admissionGender
Indicates the gender-based criteria or classification applied in the context of admission or entry decisions.
-
C.
hadGender
Indicates that an entity possessed a specific gender.
-
D.
hasGenderHistory
Indicates that an entity has undergone or experienced a change or transition in gender over time.
-
E.
admittedMen
Indicates that one entity has granted admission or entry to another entity who is male.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.