Triple

T19846513
Position Surface form Disambiguated ID Type / Status
Subject Altenkirchen E476873 entity
Predicate locatedNear P294 FINISHED
Object Westerwald forest NE NERFINISHED

How this triple was built (3 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: Westerwald forest | Statement: [Altenkirchen, locatedNear, Westerwald forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerwald forest
Context triple: [Altenkirchen, locatedNear, Westerwald forest]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Arnsberg Forest
    Arnsberg Forest is a large wooded region in North Rhine-Westphalia, Germany, known for its extensive hiking trails, natural landscapes, and protected nature reserves.
  • E. Palatinate Forest
    The Palatinate Forest is a large low-mountain forested region in southwestern Germany, known for its extensive woodlands, sandstone rock formations, and status as a protected nature park.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Westerwald forest
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Arnsberg Forest
    Arnsberg Forest is a large wooded region in North Rhine-Westphalia, Germany, known for its extensive hiking trails, natural landscapes, and protected nature reserves.
  • E. Palatinate Forest
    The Palatinate Forest is a large low-mountain forested region in southwestern Germany, known for its extensive woodlands, sandstone rock formations, and status as a protected nature park.
  • F. None of above. chosen

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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65809da2c8190bb579ef42513b74d completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.