Triple

T11759667
Position Surface form Disambiguated ID Type / Status
Subject Graf zu Waldeck E279618 entity
Predicate titleInEnglish P6688 FINISHED
Object Count of Waldeck E279618 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: Count of Waldeck | Statement: [Graf zu Waldeck, titleInEnglish, Count of Waldeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Waldeck
Context triple: [Graf zu Waldeck, titleInEnglish, Count of Waldeck]
  • A. Count of Schwarzenberg
    Count of Schwarzenberg is a hereditary title of a prominent Bohemian noble family that rose to significant influence within the Habsburg Monarchy.
  • B. Graf zu Waldeck chosen
    Graf zu Waldeck is a noble title historically borne by members of the German princely House of Waldeck.
  • C. Prince of Waldeck
    The Prince of Waldeck was a German noble and military leader who commanded Allied forces against France during the late 17th century.
  • D. Count of Schaumburg-Lippe
    The Count of Schaumburg-Lippe was the hereditary ruler of the small German county of Schaumburg-Lippe, a minor principality within the Holy Roman Empire and later the German Confederation.
  • E. House of Waldeck
    The House of Waldeck was a German noble dynasty that ruled the small principality of Waldeck in what is now central 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_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_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.