Triple

T8629108
Position Surface form Disambiguated ID Type / Status
Subject George William, Duke of Brunswick-Lüneburg E204354 entity
Predicate deathPlace P21 FINISHED
Object Wienhausen E235487 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: Wienhausen | Statement: [George William, Duke of Brunswick-Lüneburg, deathPlace, Wienhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wienhausen
Context triple: [George William, Duke of Brunswick-Lüneburg, deathPlace, Wienhausen]
  • A. Wienhausen chosen
    Wienhausen is a historic village in Lower Saxony, Germany, best known for its medieval Cistercian nunnery and well-preserved half-timbered architecture.
  • B. Waigolshausen
    Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
  • C. Ochsenhausen
    Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
  • D. Hausen
    Hausen is a small suburban district of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
  • E. Fleinhausen
    Fleinhausen is a small village in Bavaria, Germany, historically noted as the birthplace of Nazi propagandist Julius Streicher.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc473f6b888190ae40d65f24122c88 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd069faa481908db58399fe8f72f1 completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:27 p.m.