Triple
T13516778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Sydney Girls High School |
E322779
|
entity |
| Predicate | schoolGenderPolicy |
P16158
|
FINISHED |
| Object | girls 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: girls only | Statement: [North Sydney Girls High School, schoolGenderPolicy, girls only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolGenderPolicy Context triple: [North Sydney Girls High School, schoolGenderPolicy, girls only]
-
A.
hasGenderPolicy
Indicates that an entity has adopted, implemented, or is governed by a specific policy related to gender issues or gender equality.
-
B.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
C.
governsGender
Indicates that one entity determines or constrains the gender classification or gender-related properties of another entity.
-
D.
admissionGender
chosen
Indicates the gender-based criteria or classification applied in the context of admission or entry decisions.
-
E.
hasPupilsGender
Indicates that an entity has pupils whose gender is specified or characterized in some way.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.