Triple
T259487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Council of Churches |
E5509
|
entity |
| Predicate | cooperationWith |
P435
|
FINISHED |
| Object | member communions |
—
|
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: member communions | Statement: [National Council of Churches, cooperationWith, member communions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cooperationWith Context triple: [National Council of Churches, cooperationWith, member communions]
-
A.
coordinatedWith
chosen
Indicates that two or more entities have worked together in an organized, cooperative manner toward a shared task, goal, or activity.
-
B.
coFounderWith
Indicates that two or more entities jointly founded the same organization or venture.
-
C.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
D.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
E.
confluenceWith
Indicates that one entity joins or merges together with another, typically at a shared meeting point.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.