Triple

T7606237
Position Surface form Disambiguated ID Type / Status
Subject Roer E180110 entity
Predicate sourceLocation P40 FINISHED
Object High Fens E263273 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: High Fens | Statement: [Roer, sourceLocation, High Fens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Fens
Context triple: [Roer, sourceLocation, High Fens]
  • A. High Fens chosen
    High Fens is a high-altitude moorland and nature reserve region in eastern Belgium and western Germany, known for its unique peat bog landscapes and biodiversity.
  • B. Norfolk Fens
    The Norfolk Fens are a low-lying, marshy agricultural landscape in eastern England, characterized by extensive drainage systems and fertile peat soils.
  • C. Jutland heathlands
    Jutland heathlands are expansive, windswept heath ecosystems of western Denmark characterized by open moorland, sandy soils, and hardy vegetation shaped by a cool, maritime climate.
  • D. Ginkelse Heide
    Ginkelse Heide is a heathland area in the Netherlands known for its natural landscapes and as a historic World War II airborne landing site.
  • E. Fens
    The Fens is a low-lying, historically marshy region of eastern England known for its extensive drainage, rich agricultural land, and distinctive rural landscape.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86857db14819086d5ebd825d30e77 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.