Triple

T15732386
Position Surface form Disambiguated ID Type / Status
Subject Ernst Jünger E381374 entity
Predicate residence P75 FINISHED
Object Wilflingen
Wilflingen is a small village in southern Germany best known as the longtime home of writer Ernst Jünger.
 E1174527 NE FINISHED

How this triple was built (4 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: Wilflingen | Statement: [Ernst Jünger, residence, Wilflingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilflingen
Context triple: [Ernst Jünger, residence, Wilflingen]
  • A. Wilhering
    Wilhering is a municipality in Upper Austria, known for the historic Wilhering Abbey and its location near the city of Linz.
  • B. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • C. Wipfeld
    Wipfeld is a small municipality in northern Bavaria, Germany, situated along the Main River and known for its winegrowing and historic Franconian character.
  • D. Wilsdruff
    Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
  • E. Leißling
    Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Wilflingen
Triple: [Ernst Jünger, residence, Wilflingen]
Generated description
Wilflingen is a small village in southern Germany best known as the longtime home of writer Ernst Jünger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilflingen
Target entity description: Wilflingen is a small village in southern Germany best known as the longtime home of writer Ernst Jünger.
  • A. Wilhering
    Wilhering is a municipality in Upper Austria, known for the historic Wilhering Abbey and its location near the city of Linz.
  • B. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • C. Wipfeld
    Wipfeld is a small municipality in northern Bavaria, Germany, situated along the Main River and known for its winegrowing and historic Franconian character.
  • D. Wilsdruff
    Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
  • E. Leißling
    Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
  • F. None of above. chosen

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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.