Triple

T20366488
Position Surface form Disambiguated ID Type / Status
Subject Schwarzwald-Baar-Kreis E496922 entity
Predicate borders P224 FINISHED
Object Tuttlingen 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: Tuttlingen | Statement: [Schwarzwald-Baar-Kreis, borders, Tuttlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuttlingen
Context triple: [Schwarzwald-Baar-Kreis, borders, Tuttlingen]
  • A. Tuttlingen chosen
    Tuttlingen is a town in the state of Baden-Württemberg in southern Germany, known as a major center of the medical technology and surgical instrument industry.
  • B. Ittlingen
    Ittlingen is a small municipality in the German state of Baden-Württemberg, located within the Heilbronn region.
  • C. Lautern
    Lautern is a historical German locality known as the former residence of Palatine Count John Casimir of Simmern.
  • D. Ettlingen
    Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
  • E. Rottweil
    Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.