Triple

T20658461
Position Surface form Disambiguated ID Type / Status
Subject South Somerset E507690 entity
Predicate containsSettlement P847 FINISHED
Object Somerton NE NERFINISHED

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: Somerton | Statement: [South Somerset, containsSettlement, Somerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerton
Context triple: [South Somerset, containsSettlement, Somerton]
  • A. Somerton
    Somerton is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its suburban character and diverse community.
  • B. Somerton chosen
    Somerton is a historic market town in Somerset, England, known for its medieval architecture and role as a former county town.
  • C. Somerton
    Somerton is a small village in Norfolk, England, situated within the Norfolk Broads and known for its rural character and proximity to the River Thurne.
  • D. Simington
    Simington is a surname variant of Symington, typically of Scottish origin and associated with families from places bearing that name.
  • E. Sharperton
    Sharperton is a small rural settlement in Northumberland, England, situated within the scenic Coquet Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eefd5c8190a71d4be690a6ae0e completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.