Triple

T8722161
Position Surface form Disambiguated ID Type / Status
Subject Free State of Waldeck E207036 entity
Predicate shortName P43 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: [Free State of Waldeck, shortName, Waldeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldeck
Context triple: [Free State of Waldeck, shortName, 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. Gambetta
    Gambetta is a French surname most famously associated with Léon Gambetta, a prominent 19th-century French statesman and republican leader.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0609f48190adc56226724b16c6 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.