Triple
T22625277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglican Church in Brazil (GAFCON-aligned) |
E558397
|
entity |
| Predicate | stanceOn39Articles |
P148965
|
FINISHED |
| Object | affirms Thirty-Nine Articles of Religion |
—
|
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: affirms Thirty-Nine Articles of Religion | Statement: [Anglican Church in Brazil (GAFCON-aligned), stanceOn39Articles, affirms Thirty-Nine Articles of Religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOn39Articles Context triple: [Anglican Church in Brazil (GAFCON-aligned), stanceOn39Articles, affirms Thirty-Nine Articles of Religion]
-
A.
stanceOnAuthority
Indicates an entity’s attitude, position, or level of support or opposition toward authority or authoritative control.
-
B.
stanceOnProofs
Indicates the position or attitude an entity holds regarding the use, value, or nature of proofs.
-
C.
stanceOnTreaties
Indicates the position, attitude, or policy an entity holds regarding specific treaties or treaty-related issues.
-
D.
stanceOnIcons
Indicates a subject’s position, attitude, or viewpoint regarding the use, value, or treatment of icons.
-
E.
supportsDiscussionOnArticles
Indicates that an entity enables or facilitates discussion or commenting on articles.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3c5cb88190b172f9f92eb58d7f |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:01 p.m.