Triple
T1237194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Evangelical Alliance |
E26574
|
entity |
| Predicate | estimatedConstituencySize |
P24843
|
FINISHED |
| Object | over 600 million evangelicals |
—
|
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: over 600 million evangelicals | Statement: [World Evangelical Alliance, estimatedConstituencySize, over 600 million evangelicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedConstituencySize Context triple: [World Evangelical Alliance, estimatedConstituencySize, over 600 million evangelicals]
-
A.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
B.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
C.
targetConstituency
Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
-
D.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
-
E.
constituencyType
Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf3f07c08190a402e8341c1f38cc |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.