Triple

T7890549
Position Surface form Disambiguated ID Type / Status
Subject M56 E183219 entity
Predicate connects P390 FINISHED
Object North Wales E59105 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: North Wales | Statement: [M56, connects, North Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Wales
Context triple: [M56, connects, North Wales]
  • A. North Wales chosen
    North Wales is a mountainous and coastal region of Wales known for its rugged landscapes, historic castles, and the popular tourist destination of Snowdonia National Park.
  • B. Mid Wales
    Mid Wales is a sparsely populated, predominantly rural region of central Wales known for its upland landscapes, market towns, and Welsh-speaking communities.
  • C. South Wales
    South Wales is a region of Wales in the United Kingdom known for its major cities like Cardiff and Swansea, rich industrial heritage, and distinctive Welsh culture and landscapes.
  • D. north-east Wales
    North-east Wales is a region of Wales encompassing several counties, including Denbighshire, known for its mix of historic towns, rural landscapes, and proximity to the English border.
  • E. South Wales Marches
    The South Wales Marches were a historically contested border region between England and Wales, characterized by powerful marcher lordships and frequent medieval conflict.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ee137081908e87e35016c3a176 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b9f47cc8190a6f9fc087010ad96 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5 p.m.