Triple

T17991641
Position Surface form Disambiguated ID Type / Status
Subject Biosphärenreservat Rhön E430387 entity
Predicate hasEcosystemType P193 FINISHED
Object Heiden 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: Heiden | Statement: [Biosphärenreservat Rhön, hasEcosystemType, Heiden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heiden
Context triple: [Biosphärenreservat Rhön, hasEcosystemType, Heiden]
  • A. Heiden
    Heiden is a municipality in the Borken district of North Rhine-Westphalia in western Germany, known for its rural character and local cultural traditions.
  • B. Heiden chosen
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • C. Heiden
    Heiden is the central hall of worship within Japan’s Itsukushima Shrine, used for Shinto religious ceremonies and offerings.
  • D. Heiden
    Heiden is a German surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Heidiland
    Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29fd7648190b7f09ea60c7b96a8 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.