Triple

T4891658
Position Surface form Disambiguated ID Type / Status
Subject Middle Hesse E109575 entity
Predicate borderedBy P224 FINISHED
Object North Hesse E108856 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: North Hesse | Statement: [Middle Hesse, borderedBy, North Hesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Hesse
Context triple: [Middle Hesse, borderedBy, North Hesse]
  • A. North Hesse chosen
    North Hesse is a region in the northern part of the German state of Hesse, centered around the city of Kassel and known for its forests, hills, and cultural heritage.
  • B. Hesse
    Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
  • C. 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.
  • D. Sachse
    Sachse is a suburban city in the Dallas–Fort Worth metropolitan area of northeastern Texas.
  • E. 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.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.