Triple

T36513573
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Malacca E899973 entity
Predicate belongsTo P35 FINISHED
Object Catholic Church in Asia
The Catholic Church in Asia is the collective presence of the Roman Catholic faith across the Asian continent, encompassing its dioceses, clergy, religious institutions, and lay communities within diverse cultural and religious contexts.
E2187020 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: Catholic Church in Asia | Statement: [Diocese of Malacca, belongsTo, Catholic Church in Asia]
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: Catholic Church in Asia
Triple: [Diocese of Malacca, belongsTo, Catholic Church in Asia]
Generated description
The Catholic Church in Asia is the collective presence of the Roman Catholic faith across the Asian continent, encompassing its dioceses, clergy, religious institutions, and lay communities within diverse cultural and religious contexts.

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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1f0c3b4819098be0aedf3747138 completed May 3, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbdb8d50819096e4331f47bb456d completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dc86e8cc8190b6be021ce03abfbf completed June 23, 2026, 1:08 a.m.
NED2 Entity disambiguation (via description) batch_6a39de5091f8819082f7dd6f5dfff703 completed June 23, 2026, 1:16 a.m.
Created at: May 3, 2026, 4:10 p.m.