Triple

T10979411
Position Surface form Disambiguated ID Type / Status
Subject William Berkeley E259460 entity
Predicate birthPlace P1 FINISHED
Object Somerset, England E59760 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: Somerset, England | Statement: [William Berkeley, birthPlace, Somerset, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerset, England
Context triple: [William Berkeley, birthPlace, Somerset, England]
  • A. Somerset
    Somerset is a coastal town in Bristol County, Massachusetts, situated along the Taunton River opposite the city of Fall River.
  • B. 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.
  • C. 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.
  • D. Wells, Somerset
    Wells, Somerset is a historic cathedral city in southwest England, renowned for its medieval architecture and status as one of the smallest cities in the UK.
  • E. Berkshire, England
    Berkshire, England is a historic county in South East England known for its royal connections, including Windsor Castle, and its picturesque Thames-side towns.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f7b874819087bf5a858905279b completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7cb8fe08190b9de7b970968da48 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.