Triple

T19084765
Position Surface form Disambiguated ID Type / Status
Subject Pirmasens E467117 entity
Predicate locatedIn P40 FINISHED
Object Palatinate region 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: Palatinate region | Statement: [Pirmasens, locatedIn, Palatinate region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palatinate region
Context triple: [Pirmasens, locatedIn, Palatinate region]
  • A. Western Palatinate chosen
    Western Palatinate is a region in southwestern Germany that forms the western part of the Palatinate area in the state of Rhineland-Palatinate.
  • B. Hohenlohe region
    The Hohenlohe region is a rural area in the German state of Baden-Württemberg, known for its rolling landscapes, historic towns, and strong agricultural and food-producing industries.
  • C. 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.
  • 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. 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 (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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e346f57c8190a6299e09a0be9e05 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.