Triple

T16694556
Position Surface form Disambiguated ID Type / Status
Subject Enz Valley E405680 entity
Predicate hasTown P847 FINISHED
Object Mühlacker 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: Mühlacker | Statement: [Enz Valley, hasTown, Mühlacker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mühlacker
Context triple: [Enz Valley, hasTown, Mühlacker]
  • A. Mühlacker chosen
    Mühlacker is a town in the state of Baden-Württemberg in southwestern Germany, known for its location in the Enz River valley and its historical radio transmitter.
  • B. Marbach am Neckar
    Marbach am Neckar is a historic town in the German state of Baden-Württemberg, best known as the birthplace of the renowned poet and playwright Friedrich Schiller.
  • C. Möhringen
    Möhringen is a district of Stuttgart in the German state of Baden-Württemberg, known as a residential area that also hosts U.S. military facilities.
  • D. Neckargemünd
    Neckargemünd is a small historic town in southwestern Germany, located at the confluence of the Neckar and Elsenz rivers near Heidelberg.
  • E. Badenweiler
    Badenweiler is a spa town in southwestern Germany’s Black Forest region, known for its thermal baths and as the place where Russian writer Anton Chekhov died.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eacfa788190a8d2058f96c0d445 completed April 18, 2026, 12:53 p.m.
Created at: April 10, 2026, 5:19 a.m.