Triple
T34108046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bønsnes Church |
E874760
|
entity |
| Predicate | wasOriginallyRomanCatholic |
P41082
|
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: [Bønsnes Church, wasOriginallyRomanCatholic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOriginallyRomanCatholic Context triple: [Bønsnes Church, wasOriginallyRomanCatholic, true]
-
A.
formerReligiousAffiliation
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
-
B.
hasSignificantRomanCatholicPopulation
Indicates that a place or group has a notably large proportion of its population adhering to the Roman Catholic faith.
-
C.
religionBeforeReformation
chosen
Indicates that an entity’s religious affiliation or practice existed or was established prior to the historical period known as the Reformation.
-
D.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
-
E.
establishedChurch
Indicates that a particular church is officially recognized and supported by the state as its formal or primary religious institution.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70caf57ec8190b0a453cc75eaa8f2 |
completed | May 3, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.