Triple

T20960990
Position Surface form Disambiguated ID Type / Status
Subject Homberg (Efze) E516242 entity
Predicate locatedIn P40 FINISHED
Object northern Hesse 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: northern Hesse | Statement: [Homberg (Efze), locatedIn, northern Hesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Hesse
Context triple: [Homberg (Efze), locatedIn, northern Hesse]
  • A. Northern Hesse region
    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. Nordhessen chosen
    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.
  • C. 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.
  • D. 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.
  • E. Hesse region
    Hesse region is a federal state in central-western Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.