Triple
T16803026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelical Lutheran Church |
E408404
|
entity |
| Predicate | recognizesScriptureAs |
P60571
|
FINISHED |
| Object | highest authority in matters of faith |
—
|
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: highest authority in matters of faith | Statement: [Evangelical Lutheran Church, recognizesScriptureAs, highest authority in matters of faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesScriptureAs Context triple: [Evangelical Lutheran Church, recognizesScriptureAs, highest authority in matters of faith]
-
A.
recognizesScripturesFrom
Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
-
B.
hasScripture
Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
-
C.
doesNotRecognizeAsScripture
Indicates that one entity does not accept or acknowledge another entity as authoritative scripture.
-
D.
consideredScriptureBy
chosen
Indicates that one party regards or recognizes a text or writing as sacred scripture.
-
E.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.