Triple

T4723838
Position Surface form Disambiguated ID Type / Status
Subject Weymouth railway station E104831 entity
Predicate fareZone P844 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: [Weymouth railway station, fareZone, Dorset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorset
Context triple: [Weymouth railway station, fareZone, 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6444412c81908a7f6f17978df2d2 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8fed2208190a3e340190356e67f completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:18 p.m.