Triple

T21851587
Position Surface form Disambiguated ID Type / Status
Subject S33 E539515 entity
Predicate hasLandmark P105 FINISHED
Object Mam Tor 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: Mam Tor | Statement: [S33, hasLandmark, Mam Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mam Tor
Context triple: [S33, hasLandmark, Mam Tor]
  • A. Mam Tor chosen
    Mam Tor is a prominent hill in the Peak District of England, noted for its dramatic landslips, Iron Age hillfort, and extensive walking trails with panoramic views.
  • B. Pen y Pigyn
    Pen y Pigyn is a small wooded hill and viewpoint near the town of Corwen in Denbighshire, Wales, known for its walking trails and panoramic views over the Dee Valley.
  • C. Tarn Crag
    Tarn Crag is a fell in England’s Lake District, known for its rugged terrain and scenic views within the Central Fells.
  • D. Cartmel Fell
    Cartmel Fell is a small rural parish in Cumbria, England, known for its historic church and association with the philosopher and archaeologist R. G. Collingwood.
  • E. Mount Clitheroe
    Mount Clitheroe is a mountain in the Canadian Rockies known for its scenic presence above Alberta’s Tonquin Valley.
  • 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.