Triple

T16172829
Position Surface form Disambiguated ID Type / Status
Subject Grünberg E392482 entity
Predicate partOf P40 FINISHED
Object Gießen region E483605 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: Gießen region | Statement: [Grünberg, partOf, Gießen region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gießen region
Context triple: [Grünberg, partOf, Gießen region]
  • A. Kassel region
    The Kassel region is an administrative district in the German state of Hesse, centered on the city of Kassel and encompassing surrounding rural areas.
  • B. Giessen district chosen
    Giessen district is an administrative district in the German state of Hesse, centered around the city of Gießen and known for its mix of urban areas, universities, and rural landscapes.
  • 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. Schweinfurt region
    The Schweinfurt region is an area in northern Bavaria, Germany, centered around the city of Schweinfurt and known for its Franconian cultural and historical heritage.
  • E. Wetterau region
    The Wetterau region is a fertile, historically significant area in central Hesse, Germany, known for its agriculture and dense concentration of medieval towns and castles.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefc3e088190975ecbdaeba7ee84 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.