Triple

T21138956
Position Surface form Disambiguated ID Type / Status
Subject Georg Friedrich Grotefend E520882 entity
Predicate birthPlace P1 FINISHED
Object Münden 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: Münden | Statement: [Georg Friedrich Grotefend, birthPlace, Münden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Münden
Context triple: [Georg Friedrich Grotefend, birthPlace, Münden]
  • A. Hann. Münden chosen
    Hann. Münden is a historic town in Lower Saxony, Germany, renowned for its well-preserved half-timbered architecture and its location where the Fulda and Werra rivers meet to form the Weser.
  • B. Gemünden am Main
    Gemünden am Main is a small Bavarian town in Germany known for its scenic location at the confluence of several rivers and its role as a regional transport hub.
  • C. Abtsgmünd
    Abtsgmünd is a municipality in the German state of Baden-Württemberg, situated in a rural area known for its scenic landscapes and small-town character.
  • D. Melsungen
    Melsungen is a small historic town in northern Hesse, Germany, known for its well-preserved half-timbered houses and picturesque setting on the Fulda River.
  • E. Filderstadt
    Filderstadt is a town in the German state of Baden-Württemberg, situated just south of Stuttgart and known for its proximity to Stuttgart Airport and role as a regional transport hub.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235d1c788190a28577a753532b2a completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.