Triple

T12384297
Position Surface form Disambiguated ID Type / Status
Subject Aberlady E295821 entity
Predicate nearbyTown P3883 FINISHED
Object North Berwick E84100 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: North Berwick | Statement: [Aberlady, nearbyTown, North Berwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Berwick
Context triple: [Aberlady, nearbyTown, North Berwick]
  • A. North Berwick chosen
    North Berwick is a coastal town in East Lothian, Scotland, known for its scenic beaches, golf courses, and views of nearby islands in the Firth of Forth.
  • B. Berwick
    Berwick is a small town in Nova Scotia, Canada, known for its location in the agricultural Annapolis Valley and its apple-growing heritage.
  • C. Berwick
    Berwick is a small borough in northeastern Pennsylvania known historically for its manufacturing industry and annual Halloween parade.
  • D. Warrenpoint
    Warrenpoint is a small coastal town and port in Northern Ireland, situated on the shores of Carlingford Lough and known for its scenic views and maritime activity.
  • E. Blundeston
    Blundeston is a small village and civil parish in Suffolk, England, known for its rural character and historical association with Charles Dickens’ novel "David Copperfield."
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac78c5c81909fb3d63bc6c9cc01 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.