Triple

T5899228
Position Surface form Disambiguated ID Type / Status
Subject Dorchester County, Maryland E131178 entity
Predicate namedAfter P63 FINISHED
Object Dorset E70212 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: Dorset | Statement: [Dorchester County, Maryland, namedAfter, Dorset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorset
Context triple: [Dorchester County, Maryland, namedAfter, Dorset]
  • A. Dorset chosen
    Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
  • B. Devon
    Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
  • C. Devon
    Devon is a residential neighbourhood located within the city of Fredericton in New Brunswick, Canada.
  • D. Devon
    Devon is the central protagonist of the 1970s Canadian science fiction television series "The Starlost," who discovers the truth about his generation starship and seeks to save its inhabitants.
  • E. Somerset
    Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f7b3f48190a499d43f8ffb2fa7 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf45fbf08190b2b98f3eb75eafa3 completed March 23, 2026, 4:19 a.m.
Created at: March 22, 2026, 3:58 p.m.