Triple

T38372838
Position Surface form Disambiguated ID Type / Status
Subject Fortschrittliche Bürgerpartei in Liechtenstein E893537 entity
Predicate founder P104 FINISHED
Object Leopold Freiherr von Imhof
Leopold Freiherr von Imhof was a Liechtenstein politician best known for establishing one of the country’s major conservative political parties.
E2282483 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: Leopold Freiherr von Imhof | Statement: [Fortschrittliche Bürgerpartei in Liechtenstein, founder, Leopold Freiherr von Imhof]
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: Leopold Freiherr von Imhof
Triple: [Fortschrittliche Bürgerpartei in Liechtenstein, founder, Leopold Freiherr von Imhof]
Generated description
Leopold Freiherr von Imhof was a Liechtenstein politician best known for establishing one of the country’s major conservative political parties.

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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcccf80dcc81908e23e66598df1068 completed May 7, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a421bd2a2388190a480061e49a7e9c0 completed June 29, 2026, 7:16 a.m.
NEDg Description generation batch_6a421cef13048190b18844122ce3f69e completed June 29, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_6a421d40eb448190ab8120a58bb64a11 completed June 29, 2026, 7:22 a.m.
Created at: May 3, 2026, 4:31 p.m.