Triple

T3574849
Position Surface form Disambiguated ID Type / Status
Subject Ettersberg hill near Weimar E75661 entity
Predicate hasNameInGerman P22792 FINISHED
Object Ettersberg E313278 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: Ettersberg | Statement: [Ettersberg hill near Weimar, hasNameInGerman, Ettersberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ettersberg
Context triple: [Ettersberg hill near Weimar, hasNameInGerman, Ettersberg]
  • A. Ettersberg chosen
    Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
  • B. Limpertsberg
    Limpertsberg is an affluent residential and educational district of Luxembourg City known for its elegant townhouses, schools, and proximity to the city center.
  • C. Aegidienberg
    Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
  • D. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • E. Schneeberg
    Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0d928f08190830347b3b032178a completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc077048190917260402e2ccf66 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.