Triple
T24856724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Mountain School |
E622048
|
entity |
| Predicate | servesBoardingStudentsFrom |
P88189
|
FINISHED |
| Object | international locations |
—
|
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: international locations | Statement: [Indian Mountain School, servesBoardingStudentsFrom, international locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesBoardingStudentsFrom Context triple: [Indian Mountain School, servesBoardingStudentsFrom, international locations]
-
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.
offersBoardingForGrades
Indicates that an institution provides boarding accommodations specifically available to certain grade levels.
-
D.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
E.
attendsSchoolIn
Indicates that a person is enrolled as a student at, and regularly goes to, a school located in a particular place.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 18, 2026, 5:21 a.m.