Triple

T18604080
Position Surface form Disambiguated ID Type / Status
Subject Greater Hesse E454692 entity
Predicate shortName P43 FINISHED
Object Groß-Hessen 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: Groß-Hessen | Statement: [Greater Hesse, shortName, Groß-Hessen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groß-Hessen
Context triple: [Greater Hesse, shortName, Groß-Hessen]
  • A. Greater Hesse chosen
    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.
  • B. Upper Hesse
    Upper Hesse was a historical region in central Germany that formed the northern, upland part of the Landgraviate of Hesse-Darmstadt.
  • C. 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.
  • D. Nordhessen
    Nordhessen is a region in northern Hesse, Germany, centered around the city of Kassel and known for its forests, low mountain ranges, and cultural-historical significance.
  • E. Kurhessen-Waldeck
    Kurhessen-Waldeck is a Protestant regional church body in central Germany that encompasses parts of the historical regions of Kurhessen and Waldeck.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54752abec8190a5f4aa84abe8b240 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.