Triple

T27073644
Position Surface form Disambiguated ID Type / Status
Subject Beauraing E685396 entity
Predicate knownFor P22 FINISHED
Object Marian apparitions of Beauraing
The Marian apparitions of Beauraing are a series of reported 1932–1933 visions of the Virgin Mary to several children in Beauraing, Belgium, which became a notable site of Catholic pilgrimage and devotion.
E1754817 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: Marian apparitions of Beauraing | Statement: [Beauraing, knownFor, Marian apparitions of Beauraing]
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: Marian apparitions of Beauraing
Triple: [Beauraing, knownFor, Marian apparitions of Beauraing]
Generated description
The Marian apparitions of Beauraing are a series of reported 1932–1933 visions of the Virgin Mary to several children in Beauraing, Belgium, which became a notable site of Catholic pilgrimage and devotion.

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_69ef14843b1481909d828b3d5a44550a completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f6231375d881909a4c346becf36a48 completed May 2, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123adc34708190850f196753e14cdb completed May 23, 2026, 11:40 p.m.
NEDg Description generation batch_6a123c648380819097286e21852bb099 completed May 23, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a123cc57c1481909a74a261af71a2c2 completed May 23, 2026, 11:48 p.m.
Created at: April 27, 2026, 8:29 a.m.