Triple

T19893620
Position Surface form Disambiguated ID Type / Status
Subject Detmold Castle E478092 entity
Predicate near P350 FINISHED
Object Detmold city center 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: Detmold city center | Statement: [Detmold Castle, near, Detmold city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detmold city center
Context triple: [Detmold Castle, near, Detmold city center]
  • A. Detmold chosen
    Detmold is a historic town in northwestern Germany that served as the capital and residence city of the former Principality of Lippe.
  • B. Stadt Ahaus
    Stadt Ahaus is a town in the district of Borken in North Rhine-Westphalia, Germany, known for its historic castle and proximity to the Dutch border.
  • C. Dorsten
    Dorsten is a town in North Rhine-Westphalia, Germany, located in the Ruhr area and known for its mix of industrial heritage and nearby natural landscapes.
  • D. Imperial City of Dortmund
    The Imperial City of Dortmund was a significant free imperial city within the Holy Roman Empire, known as a regional commercial and political center in what is now western Germany.
  • E. Lippstadt
    Lippstadt is a historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and role in regional conflicts.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590f9eb481909104a6a404c5c331 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.