Triple

T15043680
Position Surface form Disambiguated ID Type / Status
Subject Doddington, Cambridgeshire E379167 entity
Predicate locatedIn P40 FINISHED
Object Fens E624962 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: Fens | Statement: [Doddington, Cambridgeshire, locatedIn, Fens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fens
Context triple: [Doddington, Cambridgeshire, locatedIn, Fens]
  • A. Fens chosen
    The Fens is a low-lying, historically marshy region of eastern England known for its extensive drainage, rich agricultural land, and distinctive rural landscape.
  • B. Ouse Fen
    Ouse Fen is a large wetland nature reserve in Cambridgeshire, England, created from former gravel pits and managed for wildlife conservation and public recreation.
  • C. Avalon Marshes
    Avalon Marshes is a renowned wetland nature reserve in Somerset, England, celebrated for its rich biodiversity, reedbeds, and important bird habitats.
  • D. Wicken Fen
    Wicken Fen is one of Britain’s oldest and most important nature reserves, protecting rare wetland habitats and wildlife in Cambridgeshire.
  • E. Norfolk Fens
    The Norfolk Fens are a low-lying, marshy agricultural landscape in eastern England, characterized by extensive drainage systems and fertile peat soils.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.