Triple

T16627591
Position Surface form Disambiguated ID Type / Status
Subject Christian Louis, Prince of Waldeck E403988 entity
Predicate regionRuled P15936 FINISHED
Object Waldeck 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 | Statement: [Christian Louis, Prince of Waldeck, regionRuled, Waldeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldeck
Context triple: [Christian Louis, Prince of Waldeck, regionRuled, Waldeck]
  • 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. Minna Waldeck
    Minna Waldeck was the wife of renowned German mathematician and scientist Carl Friedrich Gauss.
  • C. Ferdinand Sarrien
    Ferdinand Sarrien was a French Third Republic politician and statesman who served as Prime Minister and played a key role in the moderate republican movement.
  • 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. Udenhausen
    Udenhausen is a district of the town of Boppard in the Rhineland-Palatinate region of western 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e2683481908c9a5ed895a09a6e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b7b94481909dfc0dd7b009a5b4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.