Triple

T13234528
Position Surface form Disambiguated ID Type / Status
Subject Yorkshire coalfield E315109 entity
Predicate majorMiningTowns P105974 FINISHED
Object Mexborough E764789 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: Mexborough | Statement: [Yorkshire coalfield, majorMiningTowns, Mexborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexborough
Context triple: [Yorkshire coalfield, majorMiningTowns, Mexborough]
  • A. Mexborough chosen
    Mexborough is a town in South Yorkshire, England, historically known for its coal mining and pottery industries and situated between Doncaster and Rotherham.
  • B. Bottesford
    Bottesford is a village in Leicestershire, England, known for its historic parish church and rural setting near the River Devon.
  • C. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • D. Lanesborough
    Lanesborough is a small Irish town situated on the River Shannon, known for its scenic waterfront and location on the border of County Longford and County Roscommon.
  • E. Lanesborough
    Lanesborough is a small town in western Massachusetts known for its rural character and proximity to the Berkshire Mountains.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f71c5388190a6e122e14384efd7 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2dca2c81909cab1aa868ad575d completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.