Triple

T20016457
Position Surface form Disambiguated ID Type / Status
Subject Alpenvorland E494732 entity
Predicate hasLandscapeFeature P1094 FINISHED
Object Moorlands 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: Moorlands | Statement: [Alpenvorland, hasLandscapeFeature, Moorlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moorlands
Context triple: [Alpenvorland, hasLandscapeFeature, Moorlands]
  • A. Moorlands
    Moorlands is a rural district in Staffordshire, England, characterized by upland countryside, market towns, and parts of the Peak District National Park.
  • B. Moorland
    Moorland is a surname of English origin borne by various individuals, including American educator and civic leader Jesse E. Moorland.
  • C. Moorlands of England chosen
    The Moorlands of England are expansive, often windswept upland landscapes characterized by open heather, peat bogs, and rough grassland, supporting distinctive wildlife and traditional pastoral farming.
  • D. Pennine moorland
    Pennine moorland is a high, windswept upland landscape in northern England characterized by open heather-covered hills, peat bogs, and rough grassland.
  • E. Northern Moor
    Northern Moor is a suburban residential area in south Manchester, England, known for its local amenities and tram links into the city centre.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.