Triple
T32882615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings Langley Primary School |
E841104
|
entity |
| Predicate | hasTypicalSchoolDayType |
P3004
|
FINISHED |
| Object | day school |
—
|
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: day school | Statement: [Kings Langley Primary School, hasTypicalSchoolDayType, day school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSchoolDayType Context triple: [Kings Langley Primary School, hasTypicalSchoolDayType, day school]
-
A.
schoolDayType
chosen
Indicates the classification of a given day according to its role in the school calendar (e.g., regular school day, holiday, exam day, etc.).
-
B.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
C.
schoolDayIncludes
Indicates that a particular activity, event, or time period is part of or occurs during a specified school day.
-
D.
hasSchoolHours
Indicates that an entity operates or is scheduled to function during specific school-related hours or time periods.
-
E.
daySchool
Indicates that an entity attends or is enrolled in a school that operates primarily during the daytime.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 1, 2026, 1:18 a.m.