Triple
T350777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protestant Christianity |
E7436
|
entity |
| Predicate | hasGeographicDistribution |
P2178
|
FINISHED |
| Object | global |
—
|
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: global | Statement: [Protestant Christianity, hasGeographicDistribution, global]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicDistribution Context triple: [Protestant Christianity, hasGeographicDistribution, global]
-
A.
geographicDistribution
chosen
Indicates the spatial range or area over which something occurs, exists, or is found.
-
B.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
C.
hasEndemismLevel
Indicates the degree to which something is restricted or native to a particular geographic area or region.
-
D.
biogeographicallyRelatedTo
Indicates that two entities are connected through their biogeographic characteristics, such as shared distribution patterns, regions, or historical biogeographic processes.
-
E.
territorialExtent
Indicates the geographic area or spatial range over which something extends, applies, or has jurisdiction.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb1f028c819098fa6480b4ca5cf0 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e955d1f88190bd687c46fa7c5469 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.