Triple
T30666419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guisborough Priory |
E780671
|
entity |
| Predicate | religiousAffiliationBeforeDissolution |
P111
|
FINISHED |
| Object | Catholic Church in England |
—
|
NE NERFINISHED |
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: Catholic Church in England | Statement: [Guisborough Priory, religiousAffiliationBeforeDissolution, Catholic Church in England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationBeforeDissolution Context triple: [Guisborough Priory, religiousAffiliationBeforeDissolution, Catholic Church in England]
-
A.
formerReligiousAffiliation
chosen
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
-
B.
religiousAffiliationLater
Indicates that an entity’s religious affiliation at a later time is the specified religion or organization.
-
C.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
E.
householdReligionBeforeUmarConversion
Indicates that the religion practiced by a household is the one followed prior to Umar’s conversion.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: April 29, 2026, 8:31 p.m.