Triple

T12218906
Position Surface form Disambiguated ID Type / Status
Subject Selwyn District E291158 entity
Predicate hasSettlement P1068 FINISHED
Object Southbridge E963641 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: Southbridge | Statement: [Selwyn District, hasSettlement, Southbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southbridge
Context triple: [Selwyn District, hasSettlement, Southbridge]
  • A. Southbridge
    Southbridge is a small town in Worcester County, Massachusetts, known historically for its optical manufacturing industry and New England mill-town character.
  • B. Southbridge chosen
    Southbridge is a small rural township in Canterbury, New Zealand, known for its agricultural surroundings and proximity to the coast and Lake Ellesmere / Te Waihora.
  • C. Northbridge
    Northbridge is a harbourside suburb on Sydney’s Lower North Shore known for its scenic waterfront, residential character, and proximity to the Sydney central business district.
  • D. Lynnfield
    Lynnfield is a suburban town in Essex County, Massachusetts, known for its residential character and proximity to Boston.
  • E. Southbridge, Massachusetts
    Southbridge, Massachusetts is a small former mill town in south-central Massachusetts known historically for its optical manufacturing industry and location near the Connecticut border.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c951f5881908db6edfda1153d6f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa4f4388190a787dde12190c51a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.