Triple

T6712552
Position Surface form Disambiguated ID Type / Status
Subject Blue John Cavern E153180 entity
Predicate near P350 FINISHED
Object Mam Tor E113158 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: Mam Tor | Statement: [Blue John Cavern, near, Mam Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mam Tor
Context triple: [Blue John Cavern, near, 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. Sca Fell
    Sca Fell is one of the highest and most prominent mountains in England’s Lake District, known for its rugged terrain and challenging hiking routes.
  • C. Moel Hebog
    Moel Hebog is a prominent mountain in North Wales known for its rugged slopes and panoramic views over the surrounding Snowdonia landscape.
  • D. Yr Wyddfa
    Yr Wyddfa is the Welsh name for Snowdon, the highest and one of the most iconic mountains in Wales and the entire British Isles.
  • E. Wielki Giewont
    Wielki Giewont is the highest and most prominent peak of the Giewont massif in Poland’s Tatra Mountains, known for its distinctive profile and popular hiking routes.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d121a92c8190a03f384a8aba84da completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af8a8bc81908a04683dbf3d7793 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.