Triple

T5852964
Position Surface form Disambiguated ID Type / Status
Subject Wernigerode E130080 entity
Predicate locatedIn P40 FINISHED
Object Harz district E242940 NE FINISHED

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: Harz district | Statement: [Wernigerode, locatedIn, Harz district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harz district
Context triple: [Wernigerode, locatedIn, Harz district]
  • A. Harz district chosen
    Harz district is an administrative district in central Germany known for encompassing much of the Harz mountain range, including historic towns and natural landscapes.
  • B. Ansbach region
    The Ansbach region is an area in the German state of Bavaria, historically part of Franconia and known for its distinct East Franconian dialect and cultural heritage.
  • C. Ansbach district
    Ansbach district is a rural administrative district in the German state of Bavaria, surrounding but not including the city of Ansbach and known for its historic towns and Franconian countryside.
  • D. Kyffhäuserkreis
    Kyffhäuserkreis is a rural district in the German state of Thuringia, known for the Kyffhäuser mountain range and the Kyffhäuser Monument.
  • E. Weimarer Land district
    Weimarer Land district is a rural administrative district in the German state of Thuringia, surrounding the city of Weimar and known for its cultural landscapes and historical sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355038008190bf38980349b533e2 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b8f8508190942ce1725884d254 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.