Triple
T1028004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent School |
E22183
|
entity |
| Predicate | hasStudentResidency |
P14094
|
FINISHED |
| Object | primarily boarding |
—
|
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: primarily boarding | Statement: [Kent School, hasStudentResidency, primarily boarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentResidency Context triple: [Kent School, hasStudentResidency, primarily boarding]
-
A.
hasResidentialRequirement
chosen
Indicates that an entity is subject to a condition requiring residence in a specified place or under specified living arrangements.
-
B.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
C.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
D.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
E.
offersResidencyPrograms
Indicates that an entity provides or makes available formal residency training programs to individuals.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.