Triple

T26936464
Position Surface form Disambiguated ID Type / Status
Subject Catholic Church in Greece E678398 entity
Predicate hasDiocese P2740 FINISHED
Object Diocese of Santorini
The Diocese of Santorini is a Latin Catholic ecclesiastical jurisdiction based on the island of Santorini in Greece, serving the local Catholic community within the Aegean region.
E1751350 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 Santorini | Statement: [Catholic Church in Greece, hasDiocese, Diocese of Santorini]
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 Santorini
Triple: [Catholic Church in Greece, hasDiocese, Diocese of Santorini]
Generated description
The Diocese of Santorini is a Latin Catholic ecclesiastical jurisdiction based on the island of Santorini in Greece, serving the local Catholic community within the Aegean 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_69eeeb4cac908190a45956c2993d1cc2 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6204ee07481908bf828d5ee2ac554 completed May 2, 2026, 4:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229974df48190ad3dba925dd147c0 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122b1547d48190993350cd89974e90 completed May 23, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_6a122c19dd14819093692713467547d5 completed May 23, 2026, 10:37 p.m.
Created at: April 27, 2026, 6:15 a.m.