Triple

T17991693
Position Surface form Disambiguated ID Type / Status
Subject Gersfeld E430388 entity
Predicate near P350 FINISHED
Object Wasserkuppe 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: Wasserkuppe | Statement: [Gersfeld, near, Wasserkuppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasserkuppe
Context triple: [Gersfeld, near, Wasserkuppe]
  • A. Wasserkuppe chosen
    Wasserkuppe is a prominent mountain in central Germany’s Rhön range, renowned as a major center for gliding and aviation history.
  • B. Witzmannsberg
    Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
  • C. Rohrbach-Berg
    Rohrbach-Berg is a small market town in Upper Austria that serves as an important local hub for administration, commerce, and services in the Mühlviertel region.
  • D. Ettersberg
    Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
  • 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 (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.