Triple

T8914897
Position Surface form Disambiguated ID Type / Status
Subject Joint Support and Enabling Command E212271 entity
Predicate location P40 FINISHED
Object Ulm, Baden-Württemberg, Germany E9969 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: Ulm, Baden-Württemberg, Germany | Statement: [Joint Support and Enabling Command, location, Ulm, Baden-Württemberg, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulm, Baden-Württemberg, Germany
Context triple: [Joint Support and Enabling Command, location, Ulm, Baden-Württemberg, Germany]
  • A. Tübingen, Germany
    Tübingen, Germany, is a historic university town in the state of Baden-Württemberg known for its medieval old town and renowned Eberhard Karls University.
  • B. Würzburg, Germany
    Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
  • C. Ulm chosen
    Ulm is a historic city in the German state of Baden-Württemberg, best known for its towering Gothic cathedral and as the birthplace of physicist Albert Einstein.
  • D. Saalfeld, Germany
    Saalfeld is a historic town in the German state of Thuringia, known for its well-preserved medieval architecture and scenic location on the Saale River.
  • E. Bietigheim-Bissingen, Germany
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its strong industrial base and proximity to major automotive and engineering companies.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc660e620c8190b02b9843c8f02bfa completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4102e881908441669e14e5c491 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:56 p.m.