Triple

T17839786
Position Surface form Disambiguated ID Type / Status
Subject Wettin E445492 entity
Predicate locatedIn P40 FINISHED
Object Saale district 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: Saale district | Statement: [Wettin, locatedIn, Saale district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saale district
Context triple: [Wettin, locatedIn, Saale district]
  • A. Saalekreis chosen
    Saalekreis is a rural district in the German state of Saxony-Anhalt, located around the city of Halle (Saale).
  • B. 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.
  • C. Bernburg district
    Bernburg district was a former administrative district in the German state of Saxony-Anhalt, later incorporated into the larger Salzlandkreis district.
  • D. Harz district
    Harz district is an administrative district in central Germany known for encompassing much of the Harz mountain range, including historic towns and natural landscapes.
  • E. Eichsfeld district
    Eichsfeld district is a rural administrative district in northern Thuringia, Germany, known for its historically Catholic character within a largely Protestant region.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.