Triple

T24902232
Position Surface form Disambiguated ID Type / Status
Subject Archdiocese of Arles E623609 entity
Predicate successorJurisdiction P37077 FINISHED
Object Archdiocese of Aix
The Archdiocese of Aix is a Roman Catholic ecclesiastical territory in southern France centered on the city of Aix-en-Provence, with a long history and significant role in the church’s regional administration.
E1692466 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 Aix | Statement: [Archdiocese of Arles, successorJurisdiction, Archdiocese of Aix]
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 Aix
Triple: [Archdiocese of Arles, successorJurisdiction, Archdiocese of Aix]
Generated description
The Archdiocese of Aix is a Roman Catholic ecclesiastical territory in southern France centered on the city of Aix-en-Provence, with a long history and significant role in the church’s regional administration.

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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42367ecbc8190a2c987cb2faa1290 completed May 1, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10cbc060108190a0379b3e9b837a3f completed May 22, 2026, 9:33 p.m.
NEDg Description generation batch_6a10cc81bb8881909413a1b8924a0fe2 completed May 22, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_6a10cd0fbcc08190a12ded88d999feab completed May 22, 2026, 9:39 p.m.
Created at: April 18, 2026, 5:27 a.m.