Triple

T17787757
Position Surface form Disambiguated ID Type / Status
Subject Princess Helena of Waldeck and Pyrmont E444063 entity
Predicate birthPlace P1 FINISHED
Object Arolsen, Waldeck and Pyrmont NE NERFINISHED

How this triple was built (3 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: Arolsen, Waldeck and Pyrmont | Statement: [Princess Helena of Waldeck and Pyrmont, birthPlace, Arolsen, Waldeck and Pyrmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arolsen, Waldeck and Pyrmont
Context triple: [Princess Helena of Waldeck and Pyrmont, birthPlace, Arolsen, Waldeck and Pyrmont]
  • A. Borken district
    Borken district is a rural administrative district in the state of North Rhine-Westphalia in western Germany, known for its small towns, agriculture, and proximity to the Dutch border.
  • B. Nassau-Saarbrücken
    Nassau-Saarbrücken was a small German principality of the House of Nassau located in the Saar region, historically notable for its role within the fragmented political landscape of the Holy Roman Empire.
  • C. Siegen district
    Siegen district is an administrative district in the German state of North Rhine-Westphalia, known for its industrial heritage and location in the Siegerland region.
  • D. Sprockhövel
    Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr region.
  • E. County of Nassau-Hadamar
    The County of Nassau-Hadamar was a small early modern German principality ruled by a branch of the House of Nassau within the Holy Roman Empire.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arolsen, Waldeck and Pyrmont
Target entity description: Arolsen, Waldeck and Pyrmont is a historic town in the former Principality of Waldeck and Pyrmont in present-day Hesse, Germany.
  • A. Borken district
    Borken district is a rural administrative district in the state of North Rhine-Westphalia in western Germany, known for its small towns, agriculture, and proximity to the Dutch border.
  • B. Nassau-Saarbrücken
    Nassau-Saarbrücken was a small German principality of the House of Nassau located in the Saar region, historically notable for its role within the fragmented political landscape of the Holy Roman Empire.
  • C. Siegen district
    Siegen district is an administrative district in the German state of North Rhine-Westphalia, known for its industrial heritage and location in the Siegerland region.
  • D. Sprockhövel
    Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr region.
  • E. County of Nassau-Hadamar
    The County of Nassau-Hadamar was a small early modern German principality ruled by a branch of the House of Nassau within the Holy Roman Empire.
  • F. None of above. chosen

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48794542c8190b049bce6e28c9f3a completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.