Triple

T19589560
Position Surface form Disambiguated ID Type / Status
Subject Engstlige E470194 entity
Predicate hasWaterfall P13549 FINISHED
Object Engstligenfälle 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: Engstligenfälle | Statement: [Engstlige, hasWaterfall, Engstligenfälle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engstligenfälle
Context triple: [Engstlige, hasWaterfall, Engstligenfälle]
  • A. Engstligenfälle chosen
    Engstligenfälle is a famous two-tiered waterfall near Adelboden in the Bernese Oberland region of Switzerland, known for its impressive height and scenic alpine surroundings.
  • B. Schöffengrund
    Schöffengrund is a rural municipality in the Lahn-Dill district of the German state of Hesse.
  • C. Burgscheidungen
    Burgscheidungen is a village in the Unstrut valley of Saxony-Anhalt, Germany, known for its historic castle and wine-growing surroundings.
  • D. Stößen
    Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
  • E. Unternehmen Strafgericht
    Unternehmen Strafgericht was the German codename for Operation Punishment, the World War II Luftwaffe bombing campaign against Belgrade in April 1941.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64054299481908d83c85cefdab075 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.