Triple
T1640015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelical Lutheran Church of Denmark |
E35447
|
entity |
| Predicate | isStateChurch |
P29736
|
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: [Evangelical Lutheran Church of Denmark, isStateChurch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStateChurch Context triple: [Evangelical Lutheran Church of Denmark, isStateChurch, true]
-
A.
hasDenominationalCounterpart
Indicates that one entity has a corresponding or equivalent entity in another religious denomination or branch.
-
B.
suiIurisChurch
Indicates a relationship where an entity belongs to or is associated with a particular self-governing (sui iuris) church within a larger ecclesial structure.
-
C.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
D.
isNonSectarian
Indicates that an organization, institution, or activity is not affiliated with, restricted to, or biased toward any particular religious sect or denomination.
-
E.
denominations
Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
- F. None of above. chosen
Provenance (4 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9192f975c8190bfd514a4b5a8786c |
completed | March 5, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:28 p.m.