Triple

T23418732
Position Surface form Disambiguated ID Type / Status
Subject Smalcald E560582 entity
Predicate region P40 FINISHED
Object Thuringian Forest area NE NERFINISHED

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: Thuringian Forest area | Statement: [Smalcald, region, Thuringian Forest area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thuringian Forest area
Context triple: [Smalcald, region, Thuringian Forest area]
  • A. Thuringian Forest chosen
    The Thuringian Forest is a low mountain range in central Germany known for its dense woodlands, scenic hiking trails, and the historic Rennsteig ridgeway.
  • B. Harz forest
    The Harz forest is a vast, mountainous woodland region in central Germany known for its dense spruce and beech forests, hiking trails, and rich folklore.
  • C. Franconian Forest
    The Franconian Forest is a low mountain range in northern Bavaria, Germany, known for its extensive woodlands, hiking trails, and role as a watershed between the Main and Saale river systems.
  • D. Westerwald forest
    The Westerwald forest is a low mountain range and heavily wooded region in western Germany, known for its rolling hills, rural landscapes, and traditional villages.
  • E. Vordemwald
    Vordemwald is a municipality in the canton of Aargau in northern Switzerland, known for its rural character and surrounding forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a5438ac08190a40a3d6402794699 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:43 p.m.