Triple

T14094703
Position Surface form Disambiguated ID Type / Status
Subject BMW iX1 E339222 entity
Predicate assembly P19323 FINISHED
Object Regensburg, Germany E127596 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: Regensburg, Germany | Statement: [BMW iX1, assembly, Regensburg, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regensburg, Germany
Context triple: [BMW iX1, assembly, Regensburg, Germany]
  • A. Regensburg chosen
    Regensburg is a historic city in southeastern Germany known for its well-preserved medieval old town on the Danube River.
  • B. Würzburg, Germany
    Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
  • C. Flensburg, Germany
    Flensburg, Germany is a historic port city in northern Germany near the Danish border, known for its maritime heritage and role as the last seat of the German government at the end of World War II.
  • D. Donauwörth, Germany
    Donauwörth, Germany is a Bavarian town on the Danube River known as a regional industrial hub and major site of helicopter production.
  • E. Johnsburg, Germany
    Johnsburg, Germany is a German town that served as the namesake and ancestral origin for many of the settlers of Johnsburg, Illinois.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf006f7481909149779de4d7cd2e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.