Triple
T22565297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwingeloo |
E557931
|
entity |
| Predicate | hasReligiousDenominationTradition |
P1186
|
FINISHED |
| Object | Protestantism |
—
|
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: Protestantism | Statement: [Dwingeloo, hasReligiousDenominationTradition, Protestantism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousDenominationTradition Context triple: [Dwingeloo, hasReligiousDenominationTradition, Protestantism]
-
A.
partOfReligiousTradition
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
-
B.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
C.
hasRiteOrTradition
chosen
Indicates that an entity is associated with, practices, or observes a particular rite, ritual, or tradition.
-
D.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
E.
religionAccordingToTradition
Indicates that an entity’s religion is identified or classified according to a particular tradition or customary understanding, rather than strictly formal or official criteria.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa9ebc8819098d74fb41e14bd7e |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.