Triple

T38697532
Position Surface form Disambiguated ID Type / Status
Subject Ceferino Namuncurá E950042 entity
Predicate fullName P16 FINISHED
Object Ceferino Namuncurá
Ceferino Namuncurá was an Argentine Mapuche youth and Salesian seminarian venerated in the Catholic Church for his piety and considered a symbol of indigenous holiness in Argentina.
E2281436 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: Ceferino Namuncurá | Statement: [Ceferino Namuncurá, fullName, Ceferino Namuncurá]
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: Ceferino Namuncurá
Triple: [Ceferino Namuncurá, fullName, Ceferino Namuncurá]
Generated description
Ceferino Namuncurá was an Argentine Mapuche youth and Salesian seminarian venerated in the Catholic Church for his piety and considered a symbol of indigenous holiness in Argentina.

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_69f76f0124408190bb39c3040734846b completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdc69afb4819087e7527b104d09a4 completed May 7, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4205ca880c81908b3a4d859a484c04 completed June 29, 2026, 5:42 a.m.
NEDg Description generation batch_6a42080cc45481908cebdec0759f6063 completed June 29, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a420859eb9481908c1991e4bf3e83c5 completed June 29, 2026, 5:53 a.m.
Created at: May 3, 2026, 4:33 p.m.