Triple

T21313979
Position Surface form Disambiguated ID Type / Status
Subject Knüllgebirge E525415 entity
Predicate contains P35 FINISHED
Object Eisenberg (Knüll) 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: Eisenberg (Knüll) | Statement: [Knüllgebirge, contains, Eisenberg (Knüll)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisenberg (Knüll)
Context triple: [Knüllgebirge, contains, Eisenberg (Knüll)]
  • A. Eisenberg (Knüll) chosen
    Eisenberg (Knüll) is a prominent mountain in the Knüllgebirge range in Hesse, Germany, known as its highest peak.
  • B. Eisenberg
    Eisenberg is a surname most notably associated with American actress Hallie Kate Eisenberg.
  • C. Eisenberg
    Eisenberg is a small town in the German state of Thuringia that serves as an administrative and cultural center for its surrounding rural district.
  • D. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • E. Eichelbaum
    Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcd4d5c8190856ddd34bb15d735 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:27 p.m.