Triple
T13997207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Andrew's School, Middletown, Delaware |
E336729
|
entity |
| Predicate | boardingStudents |
P112088
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [St. Andrew's School, Middletown, Delaware, boardingStudents, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardingStudents Context triple: [St. Andrew's School, Middletown, Delaware, boardingStudents, yes]
-
A.
enteredStud
Indicates that a student has enrolled in or begun attending a particular course, program, or institution.
-
B.
admittedStudents
Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
-
C.
admitsStudentsFrom
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
-
D.
studentsReceive
Indicates that one or more students are the recipients of something, such as instruction, resources, or communications, from another source.
-
E.
studentsWing
Indicates a relationship where a particular wing, section, or area is designated for or associated with students.
- F. None of above. chosen
Provenance (4 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.