Triple
T36173548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Lutheranism |
E1046510
|
entity |
| Predicate | largestUmbrellaBodyByMembership |
P72583
|
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, largestUmbrellaBodyByMembership, Lutheran World Federation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestUmbrellaBodyByMembership Context triple: [World Lutheranism, largestUmbrellaBodyByMembership, Lutheran World Federation]
-
A.
largestMemberOf
Indicates that an entity is the member of a group or set that has the greatest size, extent, or magnitude according to a specified measure.
-
B.
typeOfMembershipBody
Indicates the specific kind or category of membership that an entity holds within a body or organization.
-
C.
hasUniversalMembership
Indicates that an entity is a member of every group, set, or category within a specified domain.
-
D.
largestKnownMembers
chosen
Indicates that the related entities are the largest known members within a specified group, category, or set.
-
E.
membershipUnit
Indicates that an entity belongs to, is part of, or is counted within a particular unit, group, or organizational subdivision.
- 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.