Triple
T9231396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamanites |
E221823
|
entity |
| Predicate | religiousStatusInText |
P6453
|
FINISHED |
| Object | often portrayed as unbelieving |
—
|
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: often portrayed as unbelieving | Statement: [Lamanites, religiousStatusInText, often portrayed as unbelieving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousStatusInText Context triple: [Lamanites, religiousStatusInText, often portrayed as unbelieving]
-
A.
religiousStatus
chosen
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
-
B.
legalStatusOfReligion
Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
-
C.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
D.
statusInChristianity
Indicates the recognized role, standing, or significance that something or someone holds within Christian belief, practice, or tradition.
-
E.
civicStatus
Indicates the legal or social standing of an individual within a civic or societal framework, such as marital or citizenship status.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee190204819096b38270a0abc116 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.