Triple

T11932710
Position Surface form Disambiguated ID Type / Status
Subject Kurtzberg E283951 entity
Predicate etymologicalComponents P5801 FINISHED
Object Berg E753453 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: Berg | Statement: [Kurtzberg, etymologicalComponents, Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berg
Context triple: [Kurtzberg, etymologicalComponents, Berg]
  • A. 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.
  • B. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • 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 (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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.