Triple

T2801760
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate hasNotableTown P14082 FINISHED
Object Southwold E299685 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: Southwold | Statement: [Suffolk, England, hasNotableTown, Southwold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southwold
Context triple: [Suffolk, England, hasNotableTown, Southwold]
  • A. Southwold
    Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • B. Southwold chosen
    Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
  • C. Aywick
    Aywick is a small coastal settlement on the island of Yell in Shetland, Scotland.
  • D. Wicken
    Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
  • E. Totnes
    Totnes is a historic market town and former parliamentary borough in Devon, England, known for its rich heritage and independent, bohemian character.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde1117148190b0c98f906f1c872e completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8a5c364819092b01e90ee40e155 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:58 p.m.