Triple
T29928436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends Academy |
E760147
|
entity |
| Predicate | religiousInstruction |
P137217
|
FINISHED |
| Object | Quaker-based |
—
|
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: Quaker-based | Statement: [Friends Academy, religiousInstruction, Quaker-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousInstruction Context triple: [Friends Academy, religiousInstruction, Quaker-based]
-
A.
religiousTransmission
Indicates the passing on or spread of religious beliefs, practices, or traditions from one entity to another.
-
B.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
C.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
D.
traditionalReligionSchool
Indicates that a school is affiliated with, influenced by, or primarily teaches according to a traditional religion or religious tradition.
-
E.
offersReligiousEducation
chosen
Indicates that one entity provides or makes available instruction or educational programs related to religion 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: April 29, 2026, 6:17 p.m.