Triple

T16560991
Position Surface form Disambiguated ID Type / Status
Subject Kraichgau E402336 entity
Predicate partOf P40 FINISHED
Object Baden-Württemberg E32593 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-Württemberg | Statement: [Kraichgau, partOf, Baden-Württemberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baden-Württemberg
Context triple: [Kraichgau, partOf, Baden-Württemberg]
  • A. Baden-Württemberg chosen
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • B. Ostwürttemberg
    Ostwürttemberg is a region in eastern Baden-Württemberg, Germany, known for its mix of industrial centers and rural landscapes.
  • C. Württemberg
    Württemberg is a historical region in southwestern Germany that served as the core territory of various states, including the Duchy and later Kingdom of Württemberg, and now forms part of the federal state of Baden-Württemberg.
  • D. Rhineland-Palatinate
    Rhineland-Palatinate is a federal state in western Germany known for its wine-growing regions along the Rhine and Moselle rivers and its historic cities such as Mainz and Trier.
  • E. Baviera
    Baviera is a barangay, or local administrative village, within the city of Sagay in the Philippines.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576d88288190b33543bea4706a36 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679ecf4c819096e7f698b81fe25a completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.