Triple
T1237240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Evangelical Alliance |
E26574
|
entity |
| Predicate | hasGlobalNetworkOf |
P1381
|
FINISHED |
| Object | regional alliances |
—
|
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: regional alliances | Statement: [World Evangelical Alliance, hasGlobalNetworkOf, regional alliances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlobalNetworkOf Context triple: [World Evangelical Alliance, hasGlobalNetworkOf, regional alliances]
-
A.
hasGlobalReach
chosen
Indicates that an entity’s influence, operations, or impact extends across multiple countries or worldwide.
-
B.
hasNetworkPartner
Indicates that an entity is connected to another entity through a formal or recognized network partnership relationship.
-
C.
hasNetworkUS
Indicates that an entity possesses, operates, or is associated with a network located in or serving the United States.
-
D.
hasWorld
Indicates that an entity possesses, is associated with, or encompasses a particular world or global context.
-
E.
hasOverseasPresenceIn
Indicates that an entity maintains operations, offices, or activities in a foreign country or region.
- 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_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. |
Created at: March 1, 2026, 7:47 p.m.