Triple

T11759677
Position Surface form Disambiguated ID Type / Status
Subject Graf zu Waldeck E279618 entity
Predicate associatedWith P37 FINISHED
Object Waldeck-Pyrmont E41198 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: Waldeck-Pyrmont | Statement: [Graf zu Waldeck, associatedWith, Waldeck-Pyrmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldeck-Pyrmont
Context triple: [Graf zu Waldeck, associatedWith, Waldeck-Pyrmont]
  • A. Waldeck chosen
    Waldeck was a small German principality whose soldiers, like the Hessian troops, were hired out as auxiliaries to foreign powers in the 18th century.
  • B. Pont Aristide-Briand
    Pont Aristide-Briand is a bridge in Nantes, France, connecting the Île de Nantes with the rest of the city across the Loire River.
  • C. La Houssaye
    La Houssaye is a small commune in northern France located within the administrative boundaries of the canton of Breteuil.
  • D. Briand
    Briand is a French surname most notably borne by Aristide Briand, a prominent early 20th-century statesman and Nobel Peace Prize laureate.
  • E. Debré
    Debré is a notable French surname associated with several prominent figures in politics, medicine, and public life in France.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5220f148190ae60d1941a579ab6 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16695479c819082c6ab12657a2d5f completed April 29, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:41 p.m.