Triple

T9276564
Position Surface form Disambiguated ID Type / Status
Subject Solling Railway E222962 entity
Predicate passesThrough P225 FINISHED
Object northern Hesse E279620 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: northern Hesse | Statement: [Solling Railway, passesThrough, northern Hesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Hesse
Context triple: [Solling Railway, passesThrough, northern Hesse]
  • A. Northern Hesse region chosen
    The Northern Hesse region is a historical area in central Germany that once formed part of the territorial domain of the Prince of Waldeck.
  • B. western Hesse
    Western Hesse is a region in the German state of Hesse characterized by its location along the Rhine-Main area and its mix of industrial cities and rural landscapes.
  • 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. 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.
  • E. Middle Hesse
    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.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07c95a98819098528b7ada37ddc1 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e379a26c8190be2134fcec120f8e completed April 4, 2026, 10:10 a.m.
Created at: March 30, 2026, 7:34 p.m.