Triple

T6866593
Position Surface form Disambiguated ID Type / Status
Subject North Tyneside E158416 entity
Predicate containsSettlement P847 FINISHED
Object Tynemouth E176442 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: Tynemouth | Statement: [North Tyneside, containsSettlement, Tynemouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tynemouth
Context triple: [North Tyneside, containsSettlement, Tynemouth]
  • A. Tynemouth chosen
    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.
  • B. Hartlepool
    Hartlepool is a coastal town in County Durham, England, known historically for its shipbuilding and maritime heritage.
  • C. Maryport
    Maryport is a coastal town in Cumbria, England, known for its historic harbor, Roman heritage, and maritime history.
  • D. North Shields
    North Shields is a coastal town on the north bank of the River Tyne in North East England, historically known for its fishing and shipbuilding industries.
  • E. South Shields
    South Shields is a coastal town in Tyne and Wear, England, known historically for its shipbuilding and as part of the Tyneside urban area.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a5ef848190b6b9a11a3fbdb384 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7583c2548819096f8e1b8d1d34fcf completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:21 p.m.