Triple

T6390974
Position Surface form Disambiguated ID Type / Status
Subject Harwich E143824 entity
Predicate partOf P40 FINISHED
Object Tendring district E290177 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: Tendring district | Statement: [Harwich, partOf, Tendring district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tendring district
Context triple: [Harwich, partOf, Tendring district]
  • A. Tendring district chosen
    Tendring district is a local government district in Essex, England, known for its coastal towns and seaside resorts including Clacton-on-Sea.
  • B. Waveney district
    Waveney district was a former local government district in Suffolk, England, centered on the town of Lowestoft and named after the River Waveney.
  • C. Babergh district
    Babergh district is a local government district in Suffolk, England, known for its rural landscapes, historic villages, and market towns such as Sudbury and Hadleigh.
  • D. Rochford District
    Rochford District is a local government district in Essex, England, encompassing both rural communities and parts of the Southend urban area, including London Southend Airport.
  • E. Breckland district
    Breckland district is a largely rural local government district in Norfolk, England, known for its heathland landscapes and market towns such as Thetford and Dereham.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687c7fdc819099cbbb937dec215e completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388b02888190989623c658469a5a completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:34 p.m.