Triple

T14844315
Position Surface form Disambiguated ID Type / Status
Subject Gillingham E349045 entity
Predicate nearbyTown P3883 FINISHED
Object Shaftesbury E300816 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: Shaftesbury | Statement: [Gillingham, nearbyTown, Shaftesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaftesbury
Context triple: [Gillingham, nearbyTown, Shaftesbury]
  • A. Shaftesbury chosen
    Shaftesbury is a historic hilltop town in Dorset, England, known for its picturesque streets, including the famously steep, cobbled Gold Hill.
  • B. Egremont
    Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • E. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4b31a48190a3b60f02b581fbd2 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:53 a.m.