Triple

T2268888
Position Surface form Disambiguated ID Type / Status
Subject Hohenzollern-Sigmaringen E50610 entity
Predicate borderedBy P224 FINISHED
Object Baden E220958 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: Baden | Statement: [Hohenzollern-Sigmaringen, borderedBy, Baden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baden
Context triple: [Hohenzollern-Sigmaringen, borderedBy, Baden]
  • A. Baden
    Baden is a historic spa town in present-day Switzerland known for hosting the 1714 Treaty of Baden that helped conclude the War of the Spanish Succession.
  • B. Baden chosen
    Baden was a historical state in southwestern Germany that existed as a grand duchy before being incorporated into the German Empire.
  • C. Baden District
    Baden District is an administrative district in the state of Lower Austria, Austria, known for its spa town of Baden and surrounding municipalities.
  • D. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • E. Leonberg
    Leonberg is a historic town in the German state of Baden-Württemberg, near Stuttgart, known for its picturesque old town and Renaissance-era Pomeranzengarten (orange garden).
  • 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_69ae71d70e488190a2f8276dd7a7bf9e completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.