Triple

T17717315
Position Surface form Disambiguated ID Type / Status
Subject Cheb District E442231 entity
Predicate hasHistoricRegion P5057 FINISHED
Object Egerland 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: Egerland | Statement: [Cheb District, hasHistoricRegion, Egerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egerland
Context triple: [Cheb District, hasHistoricRegion, Egerland]
  • A. Egerland chosen
    Egerland is a historical region in western Bohemia, centered around the town of Cheb (Eger), known for its mixed German-Czech cultural heritage and shifting political borders.
  • B. Bördeland
    Bördeland is a municipality in the German state of Saxony-Anhalt, known for its rural character and location within the fertile Magdeburg Börde region.
  • C. Eidsberg
    Eidsberg is a former municipality and rural town area in southeastern Norway, historically part of Østfold county and known for its agricultural landscape and cultural heritage.
  • D. Erblande
    Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
  • E. Löwenberger Land
    Löwenberger Land is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its agricultural landscape and small villages north of Berlin.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.