Triple

T34294767
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Kielce E879993 entity
Predicate territoryTakenFrom P5759 FINISHED
Object Diocese of Lublin
The Diocese of Lublin is a historic Roman Catholic ecclesiastical jurisdiction in eastern Poland, centered in the city of Lublin and serving as a significant religious and cultural hub for the region.
E2112593 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: Diocese of Lublin | Statement: [Diocese of Kielce, territoryTakenFrom, Diocese of Lublin]
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: Diocese of Lublin
Triple: [Diocese of Kielce, territoryTakenFrom, Diocese of Lublin]
Generated description
The Diocese of Lublin is a historic Roman Catholic ecclesiastical jurisdiction in eastern Poland, centered in the city of Lublin and serving as a significant religious and cultural hub for 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_69f349b6df1c81908e5e5b6c2ab6409b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f713179b688190be7b1c555c3297b5 completed May 3, 2026, 9:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a376f8892c881909e53dc5a2aad9705 completed June 21, 2026, 4:58 a.m.
NEDg Description generation batch_6a37701da7a48190aa13ceb509274dd5 completed June 21, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a377178c0b88190b9182e381ed323da completed June 21, 2026, 5:07 a.m.
Created at: May 1, 2026, 1:57 a.m.