Triple

T18610647
Position Surface form Disambiguated ID Type / Status
Subject Shteynberg E454881 entity
Predicate hasEtymologicalElement P5801 FINISHED
Object Berg 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: Berg | Statement: [Shteynberg, hasEtymologicalElement, Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berg
Context triple: [Shteynberg, hasEtymologicalElement, Berg]
  • A. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Berg
    Berg is a small Bavarian town on the shores of Lake Starnberg in southern Germany, known for its scenic lakeside setting and historical connections to King Ludwig II.
  • C. Berg
    Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • D. Berg chosen
    Berg is a surname most famously associated with Alban Berg, the influential Austrian composer of the Second Viennese School.
  • E. Berge
    Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d013748819099126e27e7ec543d completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.