Triple

T20961036
Position Surface form Disambiguated ID Type / Status
Subject Bad Wildungen E516243 entity
Predicate hasCityPart P12399 FINISHED
Object Reitzenhagen — NE NERFINISHED

How this triple was built (3 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: Reitzenhagen | Statement: [Bad Wildungen, hasCityPart, Reitzenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reitzenhagen
Context triple: [Bad Wildungen, hasCityPart, Reitzenhagen]
  • A. Hettenshausen
    Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
  • B. Fahrenzhausen
    Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
  • C. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Schneringhausen
    Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Thannhausen
    Thannhausen is a small town in the Bavarian region of Swabia in southern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reitzenhagen
Target entity description: Reitzenhagen is a district of the spa town Bad Wildungen in the state of Hesse, Germany.
  • A. Hettenshausen
    Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
  • B. Fahrenzhausen
    Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
  • C. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Schneringhausen
    Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Thannhausen
    Thannhausen is a small town in the Bavarian region of Swabia in southern Germany.
  • F. None of above. chosen

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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.