Triple
T20802740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Churches of God (Winebrennerian) |
E512078
|
entity |
| Predicate | languageOfOriginCommunity |
P5562
|
FINISHED |
| Object | German-American |
—
|
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: German-American | Statement: [Churches of God (Winebrennerian), languageOfOriginCommunity, German-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOriginCommunity Context triple: [Churches of God (Winebrennerian), languageOfOriginCommunity, German-American]
-
A.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
B.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
-
C.
ethnicCommunityContext
Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
-
D.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
E.
oneOfLastCommunitiesWhereLanguageSpoken
Indicates that the subject community is among the final remaining communities in which the specified language is still actively spoken.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b207c48190a9ca5895bdf85245 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:39 p.m.