Triple
T36173578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Lutheranism |
E1046510
|
entity |
| Predicate | hasGlobalGatheringType |
P184999
|
FINISHED |
| Object | world assemblies and conferences |
—
|
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: world assemblies and conferences | Statement: [World Lutheranism, hasGlobalGatheringType, world assemblies and conferences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlobalGatheringType Context triple: [World Lutheranism, hasGlobalGatheringType, world assemblies and conferences]
-
A.
hasGlobalParticipation
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
-
B.
hasGlobalCommunity
Indicates that an entity is associated with or participates in a worldwide community or network of people.
-
C.
hasGlobalDistribution
Indicates that the related entity occurs, operates, or is present across most or all regions of the world rather than being confined to a specific locality or region.
-
D.
hasGlobalRegion
Indicates that an entity is associated with or belongs to a specific global geographic region.
-
E.
hasGlobalPlan
Indicates that an entity possesses or is associated with an overarching, comprehensive plan that applies at a global or system-wide level.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.