Triple

T10859272
Position Surface form Disambiguated ID Type / Status
Subject House of Nassau-Usingen E256353 entity
Predicate hasTerritory P285 FINISHED
Object Usingen E209322 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: Usingen | Statement: [House of Nassau-Usingen, hasTerritory, Usingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Usingen
Context triple: [House of Nassau-Usingen, hasTerritory, Usingen]
  • A. Usingen chosen
    Usingen is a small historic town in the Hochtaunus district of Hesse, Germany, known for its picturesque setting in the Taunus hills and its traditional German architecture.
  • B. Areuse
    Areuse is a river in western Switzerland that flows through the Jura Mountains and picturesque gorges before emptying into Lake Neuchâtel.
  • C. Uesen
    Uesen is a district or locality within the town of Achim in Lower Saxony, Germany.
  • D. Ngizmawa
    Ngizmawa is an alternative name for the Ngizim people, an ethnic group primarily found in northeastern Nigeria.
  • E. Usumcasane
    Usumcasane is a loyal and formidable ally of Tamburlaine in Christopher Marlowe’s play, serving as one of the conqueror’s chief generals and companions in his campaigns.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751500e248190823a16f2c85ad829 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1a0a9188190be0e9677884f3e93 completed April 14, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:20 p.m.