Triple

T1032737
Position Surface form Disambiguated ID Type / Status
Subject Prince Bernhard of the Netherlands E22288 entity
Predicate familyName P18 FINISHED
Object zur Lippe-Biesterfeld E19890 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: zur Lippe-Biesterfeld | Statement: [Prince Bernhard of the Netherlands, familyName, zur Lippe-Biesterfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: zur Lippe-Biesterfeld
Context triple: [Prince Bernhard of the Netherlands, familyName, zur Lippe-Biesterfeld]
  • A. zur Lippe-Biesterfeld chosen
    zur Lippe-Biesterfeld is a cadet branch of the German princely House of Lippe, historically associated with minor nobility and later with the Dutch royal family through Prince Bernhard.
  • B. Ronsdorf
    Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
  • C. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • D. Boblingen
    Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
  • E. Seubelsdorf
    Seubelsdorf is a village that forms one of the local subdivisions of the town of Lichtenfels in Bavaria, Germany.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b811916481908c05c2dd5ec802ec completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc15a6c81909a71bf17b5cd4019 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.