Triple

T2636610
Position Surface form Disambiguated ID Type / Status
Subject Somerset E59760 entity
Predicate borders P224 FINISHED
Object North Somerset E117369 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 Somerset | Statement: [Somerset, borders, North Somerset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Somerset
Context triple: [Somerset, borders, North Somerset]
  • A. North Somerset chosen
    North Somerset is a unitary authority area and ceremonial county district in South West England, encompassing coastal towns, rural villages, and parts of the Bristol commuter belt.
  • B. South Gloucestershire
    South Gloucestershire is a unitary authority area in South West England that includes suburban communities north of Bristol and a mix of rural villages and countryside.
  • C. Somerset
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • D. Somerset
    Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
  • E. Gloucestershire
    Gloucestershire is a historic county in South West England known for its rural Cotswolds landscapes, cathedral city of Gloucester, and rich medieval heritage.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e1fffc81908e4921690098c8db completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bb55f08190bb072c9b106aa748 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.