Triple
T2214051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presbyterian Church of Korea |
E50982
|
entity |
| Predicate | majorityOrientation |
P36839
|
FINISHED |
| Object | Calvinist |
—
|
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: Calvinist | Statement: [Presbyterian Church of Korea, majorityOrientation, Calvinist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityOrientation Context triple: [Presbyterian Church of Korea, majorityOrientation, Calvinist]
-
A.
majorityType
Indicates that one type or category constitutes more than half of the instances within a given set or context.
-
B.
majorityVote
Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
-
C.
majorityDenomination
Indicates that a specified religious denomination constitutes the largest share of a given population or group.
-
D.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
E.
majoritySeats
Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf0c2b8881908553eed5be17a9c2 |
completed | March 7, 2026, 6 a.m. |
Created at: March 4, 2026, 7:46 p.m.