Triple
T15566766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Catherine's School, Bramley |
E371135
|
entity |
| Predicate | foundedOnReligion |
P4028
|
FINISHED |
| Object | Anglican principles |
—
|
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: Anglican principles | Statement: [St Catherine's School, Bramley, foundedOnReligion, Anglican principles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedOnReligion Context triple: [St Catherine's School, Bramley, foundedOnReligion, Anglican principles]
-
A.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
B.
religiousFoundation
Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
-
C.
religiousAffiliationAtFoundation
chosen
Indicates the religious denomination or tradition with which an entity was affiliated at the time it was founded.
-
D.
hasReligiousMovementTypeFoundedThere
Indicates that a particular religious movement was founded or originated at the referenced location.
-
E.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.