Triple

T8862541
Position Surface form Disambiguated ID Type / Status
Subject Wettin-Löbejün E210926 entity
Predicate formedByMergerOf P77 FINISHED
Object Farnstädt E762238 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: Farnstädt | Statement: [Wettin-Löbejün, formedByMergerOf, Farnstädt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farnstädt
Context triple: [Wettin-Löbejün, formedByMergerOf, Farnstädt]
  • A. Farnstädt chosen
    Farnstädt is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
  • B. Fraustadt
    Fraustadt is a historic town in western Poland, known today as Wschowa, that was the site of a major Swedish victory over Saxon and Russian forces during the Great Northern War.
  • C. Burgstädt
    Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
  • D. Ramstedt
    Ramstedt is a Finnish surname most notably borne by linguist and diplomat Gustaf John Ramstedt, known for his pioneering work in Altaic and Mongolic studies.
  • E. Biebrich
    Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c3c6c08190b51ea5e9cf7085e9 completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:50 p.m.