Triple

T35773351
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Udine E1034224 entity
Predicate metropolitanSee P16486 FINISHED
Object Archdiocese of Udine
The Archdiocese of Udine is a major Roman Catholic ecclesiastical jurisdiction in northeastern Italy that serves as the metropolitan see for several suffragan dioceses in the region.
E2172032 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: Archdiocese of Udine | Statement: [Diocese of Udine, metropolitanSee, Archdiocese of Udine]
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: Archdiocese of Udine
Triple: [Diocese of Udine, metropolitanSee, Archdiocese of Udine]
Generated description
The Archdiocese of Udine is a major Roman Catholic ecclesiastical jurisdiction in northeastern Italy that serves as the metropolitan see for several suffragan dioceses in the region.

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_69f76e14a1e081908eddd57bd6fdb3be completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1f927d08190bd236e0afb3d2bcb completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d2d5e708190a3e9e4e73e3b4bd9 completed June 22, 2026, 10:23 a.m.
NEDg Description generation batch_6a390eaab52881909027bbc2cc2469ba completed June 22, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a390f6f1ec88190b2fe251699996657 completed June 22, 2026, 10:33 a.m.
Created at: May 3, 2026, 4:06 p.m.