Triple
T21714402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Andrew’s School |
E535985
|
entity |
| Predicate | dayStudentsProportion |
P14073
|
FINISHED |
| Object | very low or none |
—
|
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: very low or none | Statement: [St. Andrew’s School, dayStudentsProportion, very low or none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayStudentsProportion Context triple: [St. Andrew’s School, dayStudentsProportion, very low or none]
-
A.
hasDayStudents
chosen
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
B.
primaryStudentPopulation
Indicates the number or group of students who are enrolled at the primary or elementary level within an educational institution or system.
-
C.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
D.
schoolSocialStatus
Indicates the relative level of social standing or prestige an individual holds within a school community.
-
E.
studentsStatus
Indicates the current academic or enrollment status associated with one or more students.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5369be88190bafc10863d4d1bd7 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.