Triple
T36173543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Lutheranism |
E1046510
|
entity |
| Predicate | hasUmbrellaOrganization |
P74815
|
FINISHED |
| Object | Lutheran World Federation |
—
|
NE NERFINISHED |
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: Lutheran World Federation | Statement: [World Lutheranism, hasUmbrellaOrganization, Lutheran World Federation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUmbrellaOrganization Context triple: [World Lutheranism, hasUmbrellaOrganization, Lutheran World Federation]
-
A.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
B.
hasOrganizations
Indicates that an entity is associated with, linked to, or includes one or more organizations.
-
C.
hasCompanionOrganization
Indicates that one organization is associated with another organization that accompanies, supports, or partners it in some related capacity.
-
D.
hasSupervisingOrganization
chosen
Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
-
E.
hasOrganBy
Indicates that one entity possesses or includes another entity as an organ or component part.
- 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_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. |
Created at: May 3, 2026, 4:08 p.m.