Triple
T26193002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Tennessee |
E655017
|
entity |
| Predicate | hasCommonReligions |
P49651
|
FINISHED |
| Object | Protestant Christianity |
—
|
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: Protestant Christianity | Statement: [Southern Tennessee, hasCommonReligions, Protestant Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonReligions Context triple: [Southern Tennessee, hasCommonReligions, Protestant Christianity]
-
A.
sharesReligionWith
Indicates that two entities follow or are associated with the same religion or religious tradition.
-
B.
isMultiReligious
Indicates that an entity is associated with or practices multiple religions rather than adhering to just one.
-
C.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
D.
religionCommon
chosen
Indicates that the related entities share the same religion or religious affiliation.
-
E.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 26, 2026, 8:45 p.m.