Triple

T15473587
Position Surface form Disambiguated ID Type / Status
Subject Böblingen district E376726 entity
Predicate containsTown P847 FINISHED
Object Leonberg E232640 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: Leonberg | Statement: [Böblingen district, containsTown, Leonberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonberg
Context triple: [Böblingen district, containsTown, Leonberg]
  • A. Leonberg chosen
    Leonberg is a historic town in the German state of Baden-Württemberg, near Stuttgart, known for its picturesque old town and Renaissance-era Pomeranzengarten (orange garden).
  • B. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • C. Rottweil
    Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
  • D. Cannstatt
    Cannstatt is a historic district of Stuttgart in the German state of Baden-Württemberg, known for its mineral springs and long-standing urban heritage.
  • E. Rastatt
    Rastatt is a historic town in southwestern Germany, known for its Baroque architecture and its role as the site of significant early 18th-century peace negotiations.
  • 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_69ff82e376f08190b5ae9793a0381204 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 3:34 a.m.