Triple

T18307288
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A81 E438520 entity
Predicate passesNear P416 FINISHED
Object Sindelfingen NE NERFINISHED

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: Sindelfingen | Statement: [Autobahn A81, passesNear, Sindelfingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindelfingen
Context triple: [Autobahn A81, passesNear, Sindelfingen]
  • A. Sindelfingen chosen
    Sindelfingen is a city in the German state of Baden-Württemberg known for its major Mercedes-Benz automobile production plant and close ties to the Stuttgart metropolitan area.
  • B. Esslingen am Neckar
    Esslingen am Neckar is a historic German town near Stuttgart, renowned for its well-preserved medieval old town, half-timbered houses, and hillside vineyards along the Neckar River.
  • C. Winnenden
    Winnenden is a small town in the German state of Baden-Württemberg, known for its historic center and role in regional Protestant history.
  • D. Böblingen
    Böblingen is a town in the German state of Baden-Württemberg, near Stuttgart, known for its automotive and technology industries and its role as a regional economic center.
  • E. Schorndorf
    Schorndorf is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and as the birthplace of automotive pioneer Gottlieb Daimler.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.