Triple
T12361088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Walker School |
E294736
|
entity |
| Predicate | admitsBoardingStudentsFrom |
P88189
|
FINISHED |
| Object | various regions of the United States |
—
|
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: various regions of the United States | Statement: [Ethel Walker School, admitsBoardingStudentsFrom, various regions of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admitsBoardingStudentsFrom Context triple: [Ethel Walker School, admitsBoardingStudentsFrom, various regions of the United States]
-
A.
hasBoardingStudents
Indicates that an educational institution accommodates students who reside on campus as boarders.
-
B.
admitsStudentsFrom
chosen
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
-
C.
hasBoardingSchool
Indicates that an entity operates, contains, or is associated with a boarding school where students both study and reside.
-
D.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
-
E.
acceptsStudents
Indicates that an institution or program allows and takes in students as participants or members.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.