Triple

T3418126
Position Surface form Disambiguated ID Type / Status
Subject Slavic cultural sphere E72058 entity
Predicate includesEthnicGroup P1898 FINISHED
Object Sorbs E74673 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: Sorbs | Statement: [Slavic cultural sphere, includesEthnicGroup, Sorbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorbs
Context triple: [Slavic cultural sphere, includesEthnicGroup, Sorbs]
  • A. Sorbs chosen
    The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
  • B. Senftenberg
    Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
  • C. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • D. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • E. Schkopau
    Schkopau is a municipality in the Saalekreis district of Saxony-Anhalt, Germany, known for its large chemical industry complex.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92df1e48190bbf22a47e44579f1 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546c88008190980a51195251af91 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.