Triple

T21851562
Position Surface form Disambiguated ID Type / Status
Subject S33 E539515 entity
Predicate containsSettlement P847 FINISHED
Object Peak Forest 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: Peak Forest | Statement: [S33, containsSettlement, Peak Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peak Forest
Context triple: [S33, containsSettlement, Peak Forest]
  • A. Peak Forest chosen
    Peak Forest is a small rural village in Derbyshire, England, situated in the Peak District and known for its scenic limestone landscape and historic church.
  • B. Skiddaw Forest
    Skiddaw Forest is a remote, largely treeless upland area in England’s Lake District, known for its wild moorland landscape beneath the Skiddaw massif.
  • C. Clee Hills
    The Clee Hills are a pair of prominent, windswept hill ranges in south Shropshire, England, known for their rugged moorland, former quarrying and mining sites, and extensive views across the surrounding countryside.
  • D. Mendip Hills
    Mendip Hills is a range of limestone hills in southwest England known for its dramatic gorges, caves, and rich archaeological and natural heritage.
  • E. Pen-y-Pass
    Pen-y-Pass is a high mountain pass and popular starting point for hiking routes up Snowdon in Snowdonia, Wales.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd59bcbc819093829feb152e090d completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:56 p.m.