Triple

T21334857
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Saxe-Wittenberg E526013 entity
Predicate importantTown P92693 FINISHED
Object Gräfenhainichen 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: Gräfenhainichen | Statement: [Duchy of Saxe-Wittenberg, importantTown, Gräfenhainichen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gräfenhainichen
Context triple: [Duchy of Saxe-Wittenberg, importantTown, Gräfenhainichen]
  • A. Gräfenhainichen chosen
    Gräfenhainichen is a small town in Saxony-Anhalt, Germany, historically noted as the birthplace of the Lutheran hymn writer Paul Gerhardt.
  • B. Hohenstoffeln
    Hohenstoffeln is an extinct volcanic mountain in the Hegau region of southern Germany, known for its distinctive twin peaks and medieval castle ruins.
  • C. Braubach
    Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
  • D. Leutershausen
    Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
  • E. Reitzenhagen
    Reitzenhagen is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d602c08190821c63e0aff42fc2 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.