Triple

T13070415
Position Surface form Disambiguated ID Type / Status
Subject Saint Ludger E329440 entity
Predicate placeOfDeath P21 FINISHED
Object Billerbeck
Billerbeck is a small historic town in North Rhine-Westphalia, Germany, known as a regional pilgrimage site associated with Saint Ludger.
E1021416 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: Billerbeck | Statement: [Saint Ludger, placeOfDeath, Billerbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billerbeck
Context triple: [Saint Ludger, placeOfDeath, Billerbeck]
  • A. Eberbach
    Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Donsbach
    Donsbach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis region of Hesse, Germany.
  • D. Büttelborn
    Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
  • E. Wernborn
    Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • 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: Billerbeck
Triple: [Saint Ludger, placeOfDeath, Billerbeck]
Generated description
Billerbeck is a small historic town in North Rhine-Westphalia, Germany, known as a regional pilgrimage site associated with Saint Ludger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Billerbeck
Target entity description: Billerbeck is a small historic town in North Rhine-Westphalia, Germany, known as a regional pilgrimage site associated with Saint Ludger.
  • A. Eberbach
    Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Donsbach
    Donsbach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis region of Hesse, Germany.
  • D. Büttelborn
    Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
  • E. Wernborn
    Wernborn is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e26e5d6881908663444bca67b01e completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e32bf5508190b4dc58971f8f64d0 completed May 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69f6e407dd988190b928b8931985a815 completed May 3, 2026, 5:58 a.m.
Created at: April 9, 2026, 9 p.m.