Triple

T1752518
Position Surface form Disambiguated ID Type / Status
Subject George William, Duke of Brunswick-Lüneburg E38475 entity
Predicate placeOfDeath P21 FINISHED
Object Wienhausen
Wienhausen is a historic village in Lower Saxony, Germany, best known for its medieval Cistercian nunnery and well-preserved half-timbered architecture.
E235487 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: Wienhausen | Statement: [George William, Duke of Brunswick-Lüneburg, placeOfDeath, Wienhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wienhausen
Context triple: [George William, Duke of Brunswick-Lüneburg, placeOfDeath, Wienhausen]
  • A. Fleinhausen
    Fleinhausen is a small village in Bavaria, Germany, historically noted as the birthplace of Nazi propagandist Julius Streicher.
  • B. Irschenhausen
    Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • 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: Wienhausen
Triple: [George William, Duke of Brunswick-Lüneburg, placeOfDeath, Wienhausen]
Generated description
Wienhausen is a historic village in Lower Saxony, Germany, best known for its medieval Cistercian nunnery and well-preserved half-timbered architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wienhausen
Target entity description: Wienhausen is a historic village in Lower Saxony, Germany, best known for its medieval Cistercian nunnery and well-preserved half-timbered architecture.
  • A. Fleinhausen
    Fleinhausen is a small village in Bavaria, Germany, historically noted as the birthplace of Nazi propagandist Julius Streicher.
  • B. Irschenhausen
    Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae303ee60c819093a70e0e6a431c01 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3418924081909556938e4628ba08 completed March 9, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae3495fe348190a8dde305ba1df046 completed March 9, 2026, 2:46 a.m.
Created at: March 4, 2026, 7:31 p.m.