Triple

T7986092
Position Surface form Disambiguated ID Type / Status
Subject Walldorf, Baden-Württemberg, Germany E185684 entity
Predicate locatedNear P294 FINISHED
Object Wiesloch E527400 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: Wiesloch | Statement: [Walldorf, Baden-Württemberg, Germany, locatedNear, Wiesloch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiesloch
Context triple: [Walldorf, Baden-Württemberg, Germany, locatedNear, Wiesloch]
  • A. Wiesloch chosen
    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.
  • B. 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.
  • C. Blaubeuren
    Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
  • D. Metzingen
    Metzingen is a town in the German state of Baden-Württemberg, known for its Swabian heritage and large outlet shopping district.
  • E. Schönaich
    Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4b87e48190a797f5363c8f0a04 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc0d1e148190a6c5043e681ee136 completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:15 p.m.