Triple
T30419951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Reformed Mission Church |
E773873
|
entity |
| Predicate | stanceOnJustice |
P169760
|
FINISHED |
| Object | affirmed justice as central to the gospel |
—
|
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: affirmed justice as central to the gospel | Statement: [Dutch Reformed Mission Church, stanceOnJustice, affirmed justice as central to the gospel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnJustice Context triple: [Dutch Reformed Mission Church, stanceOnJustice, affirmed justice as central to the gospel]
-
A.
stanceOnAuthority
Indicates an entity’s attitude, position, or level of support or opposition toward authority or authoritative control.
-
B.
stanceOnCorruption
Indicates a subject’s expressed position, attitude, or policy regarding corruption.
-
C.
stanceOnProofs
Indicates the position or attitude an entity holds regarding the use, value, or nature of proofs.
-
D.
stanceTowardGovernment
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
-
E.
stanceOnLawEnforcement
Indicates a subject’s position, attitude, or level of support regarding law enforcement practices, policies, or institutions.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6864cd7548190b3e12ef2fe253ad8 |
completed | May 2, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 8:05 p.m.