Triple

T36036873
Position Surface form Disambiguated ID Type / Status
Subject Prince-Abbey of Fulda E1042427 entity
Predicate hasNotablePrinceAbbot P207139 FINISHED
Object Konrad von Malkwitz
Konrad von Malkwitz was a notable prince-abbot of the influential Prince-Abbey of Fulda, a major ecclesiastical and territorial power in the Holy Roman Empire.
E2171126 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: Konrad von Malkwitz | Statement: [Prince-Abbey of Fulda, hasNotablePrinceAbbot, Konrad von Malkwitz]
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: Konrad von Malkwitz
Triple: [Prince-Abbey of Fulda, hasNotablePrinceAbbot, Konrad von Malkwitz]
Generated description
Konrad von Malkwitz was a notable prince-abbot of the influential Prince-Abbey of Fulda, a major ecclesiastical and territorial power in the Holy Roman Empire.

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_69f76e2d7e8c8190bac4e90734566799 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a03809bd57c8190beb371feaf44a7db completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d3444d881908838780fe6886b34 completed June 22, 2026, 10:23 a.m.
NEDg Description generation batch_6a390dadf9a881908f39c69eae2009d1 completed June 22, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a390e9b47608190bce85055453afcda completed June 22, 2026, 10:29 a.m.
Created at: May 3, 2026, 4:07 p.m.