Triple

T2582980
Position Surface form Disambiguated ID Type / Status
Subject Prince of Waldeck E57134 entity
Predicate precededBy P97 FINISHED
Object Count of Waldeck E207035 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: [Prince of Waldeck, precededBy, Count of Waldeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Waldeck
Context triple: [Prince of Waldeck, precededBy, Count of Waldeck]
  • A. 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.
  • B. 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.
  • C. House of Waldeck chosen
    The House of Waldeck was a German noble dynasty that ruled the small principality of Waldeck in what is now central Germany.
  • D. Count of Lippe
    Count of Lippe was the hereditary noble title borne by the rulers of the small German territory of Lippe before it was elevated to a principality.
  • E. Count of Hohenstein
    Count of Hohenstein is a noble title historically associated with the German aristocracy and notably borne by Francis, Duke of Teck, the father of Queen Mary of the United Kingdom.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c9d0548190b29743ac1d7837ff completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657f39dc8190971e0ad7a5396257 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.