Triple

T2383414
Position Surface form Disambiguated ID Type / Status
Subject Margate E46362 entity
Predicate partOf P40 FINISHED
Object Thanet district E226268 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: Thanet district | Statement: [Margate, partOf, Thanet district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanet district
Context triple: [Margate, partOf, Thanet district]
  • A. Thanet chosen
    Thanet is a district on the eastern tip of Kent in southeast England, known for its coastal towns, maritime heritage, and seaside tourism.
  • B. Thanet District Council
    Thanet District Council is the local government authority for the Thanet area in Kent, England, responsible for providing municipal services and managing local assets and infrastructure.
  • C. Swale district
    Swale district is a local government district in Kent, England, encompassing coastal, rural, and urban areas including the Isle of Sheppey and the towns of Sittingbourne and Faversham.
  • D. Mid Sussex District
    Mid Sussex District is a local government district in West Sussex, England, encompassing towns such as Haywards Heath, Burgess Hill, and East Grinstead.
  • E. Hart district
    Hart district is a local government district in Hampshire, England, known for its affluent communities, extensive green spaces, and consistently high quality-of-life rankings.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bafa248190a68e8f1e081f4817 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8b790bc8190ba399e252acec750 completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.