Triple

T35618257
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Zielona Góra-Gorzów E1029233 entity
Predicate bishopTitle P5046 FINISHED
Object Bishop of Zielona Góra-Gorzów
The Bishop of Zielona Góra-Gorzów is the Roman Catholic prelate who leads and oversees the Diocese of Zielona Góra-Gorzów in western Poland.
E2147395 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: Bishop of Zielona Góra-Gorzów | Statement: [Diocese of Zielona Góra-Gorzów, bishopTitle, Bishop of Zielona Góra-Gorzów]
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: Bishop of Zielona Góra-Gorzów
Triple: [Diocese of Zielona Góra-Gorzów, bishopTitle, Bishop of Zielona Góra-Gorzów]
Generated description
The Bishop of Zielona Góra-Gorzów is the Roman Catholic prelate who leads and oversees the Diocese of Zielona Góra-Gorzów in western Poland.

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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79eee67e88190b314fdf1124fee29 completed May 3, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bf054248190b5f0e93ba34061d0 completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385d4a1b9c81908f8eaca4b6fb952e completed June 21, 2026, 9:53 p.m.
NED2 Entity disambiguation (via description) batch_6a385dd6f1808190ab7f9530743cf1d6 completed June 21, 2026, 9:55 p.m.
Created at: May 3, 2026, 4:05 p.m.