Triple

T2893553
Position Surface form Disambiguated ID Type / Status
Subject Manchester and Birmingham Railway E63884 entity
Predicate locatedIn P40 FINISHED
Object Macclesfield E99270 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: Macclesfield | Statement: [Manchester and Birmingham Railway, locatedIn, Macclesfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macclesfield
Context triple: [Manchester and Birmingham Railway, locatedIn, Macclesfield]
  • A. Macclesfield chosen
    Macclesfield is a historic market town in North West England known for its former silk industry and location on the edge of the Peak District.
  • B. Nantwich
    Nantwich is a historic market town in northwest England known for its well-preserved Tudor and Georgian architecture and long association with the salt industry.
  • C. Madeley
    Madeley is a town in Shropshire, England, historically associated with coal mining and now part of the new town of Telford.
  • D. Northwich
    Northwich is a historic market and industrial town in Cheshire, England, traditionally known for its salt mining and chemical industries.
  • E. Wilmslow
    Wilmslow is an affluent town in Cheshire, England, known for its prosperous residential areas and location within the Greater Manchester commuter belt.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe062234c81909411e34db7d2683d completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f88608819087f258286b2e9e66 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:07 p.m.