Triple
T12571366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of St. Joseph of Boston |
E295608
|
entity |
| Predicate | educationalMinistryLevel |
P177
|
FINISHED |
| Object | elementary education |
—
|
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: elementary education | Statement: [Sisters of St. Joseph of Boston, educationalMinistryLevel, elementary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalMinistryLevel Context triple: [Sisters of St. Joseph of Boston, educationalMinistryLevel, elementary education]
-
A.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
B.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
C.
governsLevelOfEducation
Indicates that one entity has authority or control over determining the level or standard of education provided to another entity.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationStandard
Indicates that an entity adheres to, is governed by, or is evaluated according to a specified educational benchmark, guideline, or required level of learning.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.