Triple
T969303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg Confession |
E20908
|
entity |
| Predicate | articleTopics |
P12980
|
FINISHED |
| Object | God and the Trinity |
—
|
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: God and the Trinity | Statement: [Augsburg Confession, articleTopics, God and the Trinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleTopics Context triple: [Augsburg Confession, articleTopics, God and the Trinity]
-
A.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
-
B.
primaryTopicOf
chosen
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
C.
articleType
Indicates the specific category or kind of article associated with an entity.
-
D.
article9FocusesOn
Indicates that the subject (e.g., a document or discussion) primarily concerns or centers on the topic specified as Article 9.
-
E.
article7FocusesOn
Indicates that the subject (e.g., Article 7) primarily addresses, concentrates on, or is dedicated to the topic or entity specified by the object.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4481f508190adcf0a965a23862c |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a579888190afb489ac9fe8391c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.