Triple

T24825265
Position Surface form Disambiguated ID Type / Status
Subject AG E621168 entity
Predicate associatedWith P37 FINISHED
Object To the Nations Christian missions organization
To the Nations Christian missions organization is a faith-based ministry focused on spreading the Christian gospel and supporting missionary work across different countries and cultures.
E1654982 NE 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: To the Nations Christian missions organization | Statement: [AG, associatedWith, To the Nations Christian missions organization]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: To the Nations Christian missions organization
Triple: [AG, associatedWith, To the Nations Christian missions organization]
Generated description
To the Nations Christian missions organization is a faith-based ministry focused on spreading the Christian gospel and supporting missionary work across different countries and cultures.

Provenance (5 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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4229c26e08190aced3db65b1666a7 completed May 1, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c42245481908c36d3b775b615ff completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a102814f838819094ed41d653039f72 completed May 22, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_6a102955a7548190b17a2240f080e5ca completed May 22, 2026, 10 a.m.
Created at: April 18, 2026, 5:05 a.m.