Triple
T28328738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hun School of Princeton |
E717480
|
entity |
| Predicate | isDaySchoolFor |
P148238
|
FINISHED |
| Object | boys |
—
|
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 | Statement: [The Hun School of Princeton, isDaySchoolFor, boys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDaySchoolFor Context triple: [The Hun School of Princeton, isDaySchoolFor, boys]
-
A.
isSchoolFor
chosen
Indicates that one entity functions as an educational institution intended to serve, teach, or train the other entity.
-
B.
daySchool
Indicates that an entity attends or is enrolled in a school that operates primarily during the daytime.
-
C.
isSecondaryEducationInstitution
Indicates that an entity functions as an institution providing secondary-level education (typically between primary and higher/tertiary education).
-
D.
isInEducationalSystemOf
Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
-
E.
schoolDayType
Indicates the classification of a given day according to its role in the school calendar (e.g., regular school day, holiday, exam day, etc.).
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6493156c0819085e5d4796ce46b5a |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:30 a.m.