Triple

T35742184
Position Surface form Disambiguated ID Type / Status
Subject Gesù Nuovo E1033065 entity
Predicate hasChapel P1191 FINISHED
Object Chapel of Saint Giuseppe Moscati
The Chapel of Saint Giuseppe Moscati is a devotional space within the Church of Gesù Nuovo in Naples dedicated to the revered physician-saint known for his medical work and deep Christian faith.
E2159082 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: Chapel of Saint Giuseppe Moscati | Statement: [Gesù Nuovo, hasChapel, Chapel of Saint Giuseppe Moscati]
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: Chapel of Saint Giuseppe Moscati
Triple: [Gesù Nuovo, hasChapel, Chapel of Saint Giuseppe Moscati]
Generated description
The Chapel of Saint Giuseppe Moscati is a devotional space within the Church of Gesù Nuovo in Naples dedicated to the revered physician-saint known for his medical work and deep Christian faith.

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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a16c38e88190b4da83a7833854a9 completed May 3, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4d5d1248190a780bc1dd48daf17 completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a5be38a88190a389bb6a60b2d33b completed June 22, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_6a38a61805e081909aab709bf28025ef completed June 22, 2026, 3:03 a.m.
Created at: May 3, 2026, 4:06 p.m.