Triple

T30212289
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Graz-Seckau E768099 entity
Predicate hasPatronSaint P8397 FINISHED
Object Saint Hemma of Gurk
Saint Hemma of Gurk was an 11th-century Austrian noblewoman and benefactress renowned for her piety, charitable works, and the founding of religious institutions in Carinthia.
 E1903440 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: Saint Hemma of Gurk | Statement: [Diocese of Graz-Seckau, hasPatronSaint, Saint Hemma of Gurk]
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: Saint Hemma of Gurk
Triple: [Diocese of Graz-Seckau, hasPatronSaint, Saint Hemma of Gurk]
Generated description
Saint Hemma of Gurk was an 11th-century Austrian noblewoman and benefactress renowned for her piety, charitable works, and the founding of religious institutions in Carinthia.

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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ff185488190a49b208e4ac6cf59 completed May 2, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2758eb1ab88190981060de27a4fb20 completed June 9, 2026, 12:06 a.m.
NEDg Description generation batch_6a275a8244788190837ad72957f937db completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b94cf908190a828d9b24d444b01 completed June 9, 2026, 12:17 a.m.
Created at: April 29, 2026, 7:33 p.m.