Triple

T8323452
Position Surface form Disambiguated ID Type / Status
Subject Wessex Main Line E194888 entity
Predicate connectsCity P4245 FINISHED
Object Salisbury E87538 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: Salisbury | Statement: [Wessex Main Line, connectsCity, Salisbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salisbury
Context triple: [Wessex Main Line, connectsCity, Salisbury]
  • A. Salisbury
    Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
  • B. Salisbury
    Salisbury is a coastal town in northeastern Massachusetts, United States, known for its beaches along the Atlantic Ocean and its history dating back to the early colonial era.
  • C. Salisbury chosen
    Salisbury is a historic cathedral city in Wiltshire, England, renowned for its medieval architecture and proximity to the ancient monument of Stonehenge.
  • D. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • E. Carlisle
    Carlisle is a historic borough in south-central Pennsylvania known for its military education institutions, colonial heritage, and role in the American Revolutionary era.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f7cf49c8190b8440ff01926a66a completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde78855908190a87a0d3456c0e8ef completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:56 p.m.