Triple

T11135566
Position Surface form Disambiguated ID Type / Status
Subject Vilshofen an der Donau E263398 entity
Predicate locatedInRegion P40 FINISHED
Object Donau-Wald E753814 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: Donau-Wald | Statement: [Vilshofen an der Donau, locatedInRegion, Donau-Wald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donau-Wald
Context triple: [Vilshofen an der Donau, locatedInRegion, Donau-Wald]
  • A. Donau-Wald chosen
    Donau-Wald is a region in Lower Bavaria, Germany, characterized by its location along the Danube River and the forested landscapes of the Bavarian Forest.
  • B. Schönbuch forest
    Schönbuch forest is a large protected woodland and nature park in Baden-Württemberg, Germany, known for its diverse wildlife, hiking trails, and recreational areas near the city of Stuttgart.
  • C. Oberpfälzer Wald
    Oberpfälzer Wald is a low mountain range in eastern Bavaria, Germany, forming part of the Bohemian Massif along the Czech border.
  • D. Sachsenwald
    Sachsenwald is a large forested area in northern Germany, east of Hamburg, known as one of the region’s most extensive and historically significant woodlands.
  • E. Neckarauer Wald
    Neckarauer Wald is a forested area and local recreational green space in the Mannheim district of Neckarau in southwestern Germany.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.