Triple

T17929023
Position Surface form Disambiguated ID Type / Status
Subject Othmarschen E448277 entity
Predicate adjacentTo P224 FINISHED
Object Nienstedten 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: Nienstedten | Statement: [Othmarschen, adjacentTo, Nienstedten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nienstedten
Context triple: [Othmarschen, adjacentTo, Nienstedten]
  • A. Meinerzhagen
    Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
  • B. Nettelstädt
    Nettelstädt is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • C. Hettstedt
    Hettstedt is a small German town in the state of Saxony-Anhalt, historically known for its copper mining and metalworking industry.
  • D. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • E. Nörtershausen
    Nörtershausen is a small municipality in western Germany’s Rhineland-Palatinate region, situated in the Rhine-Mosel area.
  • 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: Nienstedten
Target entity description: Nienstedten is a leafy, affluent residential quarter in western Hamburg, Germany, known for its Elbe riverside location, historic villas, and green spaces.
  • A. Meinerzhagen
    Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
  • B. Nettelstädt
    Nettelstädt is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • C. Hettstedt
    Hettstedt is a small German town in the state of Saxony-Anhalt, historically known for its copper mining and metalworking industry.
  • D. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • E. Nörtershausen
    Nörtershausen is a small municipality in western Germany’s Rhineland-Palatinate region, situated in the Rhine-Mosel area.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5511a408190973cf5fa1f286a26 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.