Triple

T6626539
Position Surface form Disambiguated ID Type / Status
Subject Mackem E149817 entity
Predicate associatedWith P37 FINISHED
Object Wearside E109554 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: Wearside | Statement: [Mackem, associatedWith, Wearside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wearside
Context triple: [Mackem, associatedWith, Wearside]
  • A. Wearside chosen
    Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
  • B. South Tyneside
    South Tyneside is a metropolitan borough in North East England that includes coastal towns such as South Shields and forms part of the urban area around Newcastle upon Tyne.
  • C. Shotts
    Shotts is a small town in central Scotland known historically for its coal mining and industrial heritage.
  • D. Tynemouth
    Tynemouth is a coastal town in Tyne and Wear, England, known for its historic priory and castle overlooking long sandy beaches at the mouth of the River Tyne.
  • E. Inverclyde
    Inverclyde is a council area in western Scotland centered on the lower reaches of the River Clyde, known for its historic shipbuilding towns and maritime heritage.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa0feb0819099629c0fba590a05 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.