Triple

T20688045
Position Surface form Disambiguated ID Type / Status
Subject Rudolstadt E508473 entity
Predicate locatedIn P40 FINISHED
Object Saale-Orla region 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-Orla region | Statement: [Rudolstadt, locatedIn, Saale-Orla region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saale-Orla region
Context triple: [Rudolstadt, locatedIn, Saale-Orla region]
  • A. Saale-Orla region chosen
    The Saale-Orla region is a rural district in eastern Thuringia, Germany, characterized by the Saale River valley, rolling hills, and small historic towns.
  • B. Elbe-Saale region
    The Elbe-Saale region is a historical area in central Germany along the Elbe and Saale rivers, known as an early settlement region of the Sorbian (Serbja) Slavic people.
  • C. Saale-Holzland region
    The Saale-Holzland region is a rural district in the German state of Thuringia, known for its Saale River landscapes, forests, and small historic towns.
  • D. Lahn region
    The Lahn region is a scenic area in western Germany centered around the Lahn River, known for its historic towns, castles, and wine-growing landscapes.
  • E. Unstrut River region
    The Unstrut River region is a historical landscape in central Germany characterized by the Unstrut River and its surrounding valleys, towns, and agricultural areas.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.