Triple

T15955830
Position Surface form Disambiguated ID Type / Status
Subject Salzlandkreis E386930 entity
Predicate containsTown P847 FINISHED
Object Nienburg (Saale) E379321 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: Nienburg (Saale) | Statement: [Salzlandkreis, containsTown, Nienburg (Saale)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nienburg (Saale)
Context triple: [Salzlandkreis, containsTown, Nienburg (Saale)]
  • A. Nienburg (Saale) chosen
    Nienburg (Saale) is a small town in the Saxony-Anhalt region of Germany, known for its location at the confluence of the Saale and Bode rivers and its historic medieval architecture.
  • B. Nienburg
    Nienburg is a historic town in Lower Saxony, Germany, known for its medieval architecture and scenic location along the Weser River.
  • C. Naumburg (Saale)
    Naumburg (Saale) is a historic town in the German state of Saxony-Anhalt, renowned for its medieval cathedral and well-preserved old town.
  • D. Nauen
    Nauen is a historic town in the Havelland district of Brandenburg, Germany, known for its early radio transmission station and agricultural surroundings.
  • E. Bad Neustadt an der Saale
    Bad Neustadt an der Saale is a small spa town in northern Bavaria, Germany, known for its historic old town and health resorts along the Saale River.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.