Triple

T19325589
Position Surface form Disambiguated ID Type / Status
Subject Hellenstein E483338 entity
Predicate associatedWith P37 FINISHED
Object Hellenstein Castle NE NERFINISHED

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: Hellenstein Castle | Statement: [Hellenstein, associatedWith, Hellenstein Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellenstein Castle
Context triple: [Hellenstein, associatedWith, Hellenstein Castle]
  • A. Hellenstein Castle chosen
    Hellenstein Castle is a historic hilltop fortress overlooking Heidenheim an der Brenz in southern Germany, known for its medieval architecture and panoramic views.
  • B. Haldenstein Castle
    Haldenstein Castle is a historic medieval fortress located in the village of Haldenstein in the canton of Graubünden, Switzerland.
  • C. Valkhof castle
    Valkhof castle is a historic medieval fortress site in Nijmegen, Netherlands, known for its Romanesque chapel and the remaining Barbarossa ruins overlooking the River Waal.
  • D. Hermann Castle
    Hermann Castle is a historic medieval fortress in Narva, Estonia, strategically located on the Narva River opposite Russia’s Ivangorod Fortress.
  • E. Allenstein Castle
    Allenstein Castle is a historic medieval fortress in Olsztyn, Poland, best known for its association with Nicolaus Copernicus, who lived and worked there.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8bb28c81909b3a3bbb96b69b4f completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:33 p.m.