Triple

T2765860
Position Surface form Disambiguated ID Type / Status
Subject Queen’s Campus E61334 entity
Predicate regionServed P82 FINISHED
Object Teesside E14816 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: Teesside | Statement: [Queen’s Campus, regionServed, Teesside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teesside
Context triple: [Queen’s Campus, regionServed, Teesside]
  • A. Tyne and Wear
    Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
  • B. Northumbria
    Northumbria was a powerful early medieval Anglo-Saxon kingdom and cultural region in northern England and southeastern Scotland, known for its monastic centers like Lindisfarne and its significant role in the Christianization of Britain.
  • C. Merseyside
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • D. Tyne and Tees
    Tyne and Tees was the nickname of the British 50th (Northumbrian) Infantry Division, a renowned World War II formation noted for its role in major campaigns including the Normandy landings.
  • E. Yorkshire and the Humber chosen
    Yorkshire and the Humber is an official region of England encompassing major urban centers like Leeds and Sheffield along with parts of the historic county of Yorkshire.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd55a96c8190a109a1f0e8752477 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03121c93481909bee6711fab0ee0a completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 9:57 p.m.