Triple
T20872608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remonstrant Reformed Church |
E513931
|
entity |
| Predicate | hasPositionOnSalvation |
P10113
|
FINISHED |
| Object | salvation offered to all people |
—
|
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: salvation offered to all people | Statement: [Remonstrant Reformed Church, hasPositionOnSalvation, salvation offered to all people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionOnSalvation Context triple: [Remonstrant Reformed Church, hasPositionOnSalvation, salvation offered to all people]
-
A.
hasPositionOn
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
B.
viewOnSalvation
chosen
Indicates a relationship where one entity holds or expresses a particular belief, stance, or doctrinal position regarding the concept or process of salvation.
-
C.
receivedAtonementFrom
Indicates that one entity has been granted or has obtained atonement, forgiveness, or reconciliation from another entity.
-
D.
sacrificedBefore
Indicates that one entity was sacrificed earlier in time than another entity.
-
E.
hasOldSanctuary
Indicates that an entity possesses or is associated with an old or former sanctuary.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c465693881909fe4c756ddc4f291 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.