Triple

T15473601
Position Surface form Disambiguated ID Type / Status
Subject Böblingen district E376726 entity
Predicate containsMunicipality P852 FINISHED
Object Schönaich E571667 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: Schönaich | Statement: [Böblingen district, containsMunicipality, Schönaich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schönaich
Context triple: [Böblingen district, containsMunicipality, Schönaich]
  • A. Schönaich chosen
    Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
  • B. Schwenningen
    Schwenningen is a district of Villingen-Schwenningen in Baden-Württemberg, Germany, known for its ice hockey tradition and as the home of the Schwenninger Wild Wings.
  • C. Riehe
    Riehe is a small river in Lower Saxony, Germany, known as one of the tributaries feeding into the Innerste.
  • D. Wiesloch
    Wiesloch is a town in the Rhine-Neckar district of Baden-Württemberg, Germany, known for its historical center and role as a regional commercial hub.
  • E. Rüthen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8759922c8190ae5a5700e3ecc87c completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 3:34 a.m.