Triple
T4491588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Catherine’s Catholic College |
E100585
|
entity |
| Predicate | hasReligiousEducationComponent |
P28677
|
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: [St Catherine’s Catholic College, hasReligiousEducationComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousEducationComponent Context triple: [St Catherine’s Catholic College, hasReligiousEducationComponent, true]
-
A.
hasCatholicSchoolBoard
Indicates that a given region or jurisdiction is served by, or falls under the authority of, a Catholic school board.
-
B.
hasParochialSchool
chosen
Indicates that an entity operates, is associated with, or includes a parochial (religious-affiliated) school.
-
C.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
D.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
E.
hasEducationalServiceArea
Indicates that an entity (such as an educational institution or authority) is responsible for providing educational services within a specified geographic area.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd556f99b48190ae60506a35b43c29 |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.