Triple

T8791747
Position Surface form Disambiguated ID Type / Status
Subject Badenburg E209181 entity
Predicate hasNameInGerman P22792 FINISHED
Object Badenburg E209181 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: Badenburg | Statement: [Badenburg, hasNameInGerman, Badenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badenburg
Context triple: [Badenburg, hasNameInGerman, Badenburg]
  • A. Badenburg chosen
    Badenburg is an ornate pavilion within Munich’s Nymphenburg Palace park, known for its richly decorated interiors and historical bathing hall.
  • B. Neumecklenburg
    Neumecklenburg was the German colonial-era name for New Ireland, an island in the Bismarck Archipelago of present-day Papua New Guinea.
  • C. Stolberg
    Stolberg is a historic German town in the Harz region, known for its well-preserved medieval architecture and role in early Reformation-era history.
  • D. Langenburg
    Langenburg is a small historic town in the German state of Baden-Württemberg, known for its hilltop castle and association with various noble families.
  • E. Schaumburg-Lippe
    Schaumburg-Lippe was a small German principality in northern Germany that existed as an independent state within the Holy Roman Empire and later the German Confederation and Empire until the early 20th century.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.