Triple

T5517334
Position Surface form Disambiguated ID Type / Status
Subject River Tyne E144716 entity
Predicate cityOnBanks P7935 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: [River Tyne, cityOnBanks, Tynemouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tynemouth
Context triple: [River Tyne, cityOnBanks, 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. 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.
  • E. Newcastle upon Tyne
    Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5e8ce08190b7f5f2131bebcd4f completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d567cb48190839f340041f2300b completed March 22, 2026, 11:37 p.m.
Created at: March 22, 2026, 3:33 p.m.