Triple

T8684735
Position Surface form Disambiguated ID Type / Status
Subject MARCH E206129 entity
Predicate locatedIn P40 FINISHED
Object Fenland district E45428 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: Fenland district | Statement: [MARCH, locatedIn, Fenland district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenland district
Context triple: [MARCH, locatedIn, Fenland district]
  • A. Fenland District chosen
    Fenland District is a local government district in the county of Cambridgeshire in eastern England, known for its flat, low-lying agricultural landscape and market towns.
  • B. 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.
  • 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. 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.
  • E. West Norfolk
    West Norfolk is a largely rural district in the western part of Norfolk, England, known for its market towns, agricultural landscape, and proximity to The Wash coastline.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.