Triple

T12679786
Position Surface form Disambiguated ID Type / Status
Subject Second Viennese School E302914 entity
Predicate hasPart P35 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: [Second Viennese School, hasPart, Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berg
Context triple: [Second Viennese School, hasPart, 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 chosen
    Berg is a surname most famously associated with Alban Berg, the influential Austrian composer of the Second Viennese School.
  • D. Berg
    Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b1dff48190923290555ece5d89 completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a54b008190b02f9585d6c6ff77 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.