Triple

T20439458
Position Surface form Disambiguated ID Type / Status
Subject Schmalkalde E501344 entity
Predicate flowsThrough P225 FINISHED
Object Schmalkalden 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: Schmalkalden | Statement: [Schmalkalde, flowsThrough, Schmalkalden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmalkalden
Context triple: [Schmalkalde, flowsThrough, Schmalkalden]
  • A. Schmalkalden chosen
    Schmalkalden is a historic town in the German state of Thuringia, known for its well-preserved medieval architecture and role in Reformation-era politics.
  • B. Schmalkalden-Meiningen
    Schmalkalden-Meiningen is a rural district in the German state of Thuringia, known for its historic towns, cultural heritage, and location in the Thuringian Forest region.
  • C. Kronach
    Kronach is a historic town in northern Bavaria, Germany, known for its well-preserved medieval old town and the imposing Rosenberg Fortress.
  • D. Saalfeld
    Saalfeld is a town in the German state of Thuringia, known for its historic old town and former significance as a regional railway and industrial center.
  • E. Wettin
    Wettin is a small town in Saxony-Anhalt, Germany, historically significant as the ancestral seat of the influential House of Wettin.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f20fe08190b9370b523a20153d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.