Triple

T20016810
Position Surface form Disambiguated ID Type / Status
Subject Avon Navigation E494742 entity
Predicate flowsThrough P225 FINISHED
Object Somerset 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: Somerset | Statement: [Avon Navigation, flowsThrough, Somerset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerset
Context triple: [Avon Navigation, flowsThrough, Somerset]
  • A. Somerset chosen
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • B. Somerset
    Somerset is a borough in southwestern Pennsylvania that serves as the county seat of Somerset County and a gateway to the scenic Laurel Highlands region.
  • C. Somerset
    Somerset is a city in Pulaski County, Kentucky, known as a regional hub for commerce, healthcare, and recreation near Lake Cumberland.
  • D. Somerset
    Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
  • E. Dorset
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.