Triple

T6655840
Position Surface form Disambiguated ID Type / Status
Subject Wellington, Shropshire E150939 entity
Predicate hasLandmark P105 FINISHED
Object Wrekin E108105 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: Wrekin | Statement: [Wellington, Shropshire, hasLandmark, Wrekin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrekin
Context triple: [Wellington, Shropshire, hasLandmark, Wrekin]
  • A. Wrekin chosen
    Wrekin is a prominent hill and well-known local landmark in Shropshire, England, famed for its panoramic views and associated folklore.
  • B. Bleaklow
    Bleaklow is a high, windswept peat moorland plateau in the Peak District of England, known for its remote, boggy terrain and challenging hiking routes.
  • C. Rosthwaite
    Rosthwaite is a small village in England’s Lake District, situated in the scenic Borrowdale valley and popular with walkers and tourists.
  • D. Bredon Hill
    Bredon Hill is a prominent hill in Worcestershire, England, known for its Iron Age hill fort, scenic walking routes, and rich wildlife.
  • E. Harter Fell
    Harter Fell is a prominent Lake District fell in Cumbria, England, known for its rugged terrain and panoramic views over the surrounding valleys and peaks.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefffdfc8190bc191606bdb481a5 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.