Triple

T8733279
Position Surface form Disambiguated ID Type / Status
Subject Teutoburg Forest E207308 entity
Predicate GermanName P6492 FINISHED
Object Teutoburger Wald E218916 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: Teutoburger Wald | Statement: [Teutoburg Forest, GermanName, Teutoburger Wald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teutoburger Wald
Context triple: [Teutoburg Forest, GermanName, Teutoburger Wald]
  • A. Reichswald Forest
    Reichswald Forest is a large wooded area in western Germany near the Dutch border, historically notable as the site of intense fighting during World War II.
  • B. Teutoburg Forest region chosen
    The Teutoburg Forest region is a hilly, forested area in northwestern Germany known for its natural landscapes, spa towns, and the historic Battle of the Teutoburg Forest.
  • C. Hochwald
    Hochwald is a Swiss municipality in the canton of Solothurn, known for its rural character and location in the Jura foothills.
  • 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. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2a26988190acfda17f232e610a completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42bd840081908074e9d322a15b68 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:37 p.m.