Triple
T30034607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Saint Dominic Academy |
E763118
|
entity |
| Predicate | isCollegePreparatoryHighSchool |
P107673
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mount Saint Dominic Academy, isCollegePreparatoryHighSchool, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCollegePreparatoryHighSchool Context triple: [Mount Saint Dominic Academy, isCollegePreparatoryHighSchool, true]
-
A.
hasCollegePreparatoryCurriculum
chosen
Indicates that an educational institution offers a curriculum specifically designed to prepare students for college-level study.
-
B.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
C.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
D.
isOnlyHighSchoolOn
Indicates that a high school is the sole high school located on a particular street, campus, or geographic area.
-
E.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679d37ea4819096dd4a2352798748 |
completed | May 2, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:50 p.m.