Triple

T7546556
Position Surface form Disambiguated ID Type / Status
Subject Verbania E178417 entity
Predicate hasTwinTown P919 FINISHED
Object Ludwigsburg E384479 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: Ludwigsburg | Statement: [Verbania, hasTwinTown, Ludwigsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigsburg
Context triple: [Verbania, hasTwinTown, Ludwigsburg]
  • A. Ludwigsburg chosen
    Ludwigsburg is a city in the German state of Baden-Württemberg, known for its large Baroque residential palace and historical ties to the rulers of Württemberg.
  • B. Esslingen am Neckar
    Esslingen am Neckar is a historic German town near Stuttgart, renowned for its well-preserved medieval old town, half-timbered houses, and hillside vineyards along the Neckar River.
  • C. 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.
  • D. Sindelfingen
    Sindelfingen is a city in the German state of Baden-Württemberg known for its major Mercedes-Benz automobile production plant and close ties to the Stuttgart metropolitan area.
  • E. Bruchsal
    Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89963ec8190ae7b8a2b9508c074 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd66d1507c8190a84a69cd0130bb3b completed April 1, 2026, 6:41 p.m.
Created at: March 27, 2026, 3:49 p.m.