Triple
T2528412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marymount School of New York |
E56093
|
entity |
| Predicate | isCollegePreparatory |
P30500
|
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: [Marymount School of New York, isCollegePreparatory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCollegePreparatory Context triple: [Marymount School of New York, isCollegePreparatory, true]
-
A.
isPrimaryLiberalArtsCollegeOf
Indicates that an institution serves as the main or principal liberal arts college associated with a particular university or educational entity.
-
B.
isStudiedIn
Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
-
C.
hasCollegeType
chosen
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
D.
stateOfHighSchool
Indicates the U.S. state in which a given high school is located or operates.
-
E.
hasCollegeCounseling
Indicates that one entity provides college counseling services or support to another entity.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd257ea908190a010c0b785853546 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.