Triple

T2268889
Position Surface form Disambiguated ID Type / Status
Subject Hohenzollern-Sigmaringen E50610 entity
Predicate borderedBy P224 FINISHED
Object Württemberg E70816 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: Württemberg | Statement: [Hohenzollern-Sigmaringen, borderedBy, Württemberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Württemberg
Context triple: [Hohenzollern-Sigmaringen, borderedBy, Württemberg]
  • A. Baden-Württemberg
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • B. Duchy of Württemberg chosen
    The Duchy of Württemberg was a historical state within the Holy Roman Empire in southwestern Germany that served as the precursor to the later Kingdom of Württemberg.
  • C. Kingdom of Württemberg
    The Kingdom of Württemberg was a historical German state in southwestern Germany that existed from the early 19th century until the end of World War I, with Stuttgart as its capital.
  • D. Pfalz
    Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
  • E. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bd376c8190a43decde599f62e6 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69af835a10c081909b77315dd83a875b completed March 10, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:48 p.m.