Triple

T1602583
Position Surface form Disambiguated ID Type / Status
Subject Manchester to Blackpool E34427 entity
Predicate connectsRegion P845 FINISHED
Object Lancashire E5501 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: Lancashire | Statement: [Manchester to Blackpool, connectsRegion, Lancashire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancashire
Context triple: [Manchester to Blackpool, connectsRegion, Lancashire]
  • A. Lancashire chosen
    Lancashire is a historic county in North West England known for its role in the Industrial Revolution and major towns such as Lancaster, Preston, and Blackpool.
  • B. Merseyside
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • C. Cumbria
    Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
  • D. Yorkshire
    Yorkshire is a historic county in northern England known for its large size, distinctive cultural identity, and significant role in British political, industrial, and literary history.
  • E. Cheshire
    Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62292d1c819080b597199dc6b8d5 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4698cde88190a113cb7cebc3df1e completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:28 p.m.