Triple

T9439540
Position Surface form Disambiguated ID Type / Status
Subject Lahn-Dill-Kreis E227605 entity
Predicate locatedInRegion P40 FINISHED
Object Mittelhessen E109575 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: Mittelhessen | Statement: [Lahn-Dill-Kreis, locatedInRegion, Mittelhessen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mittelhessen
Context triple: [Lahn-Dill-Kreis, locatedInRegion, Mittelhessen]
  • A. Middle Hesse chosen
    Middle Hesse is a central region of the German state of Hesse known for its mix of historic university towns, industrial centers, and rural landscapes.
  • B. Greater Hesse
    Greater Hesse was a post–World War II administrative region in western Germany established by the U.S. occupation authorities, which later formed the core of the modern state of Hesse.
  • C. South Hesse
    South Hesse is a region in the southern part of the German state of Hesse that includes major urban and economic centers such as Darmstadt and the Rhine-Main area.
  • D. Wetterau region
    The Wetterau region is a fertile, historically significant area in central Hesse, Germany, known for its agriculture and dense concentration of medieval towns and castles.
  • E. Kassel region
    The Kassel region is an administrative district in the German state of Hesse, centered on the city of Kassel and encompassing surrounding rural areas.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee36f908190826994db91b18466 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139db9d1081908e2014d6f0e7e925 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:50 p.m.