Triple

T22286914
Position Surface form Disambiguated ID Type / Status
Subject Crowland Abbey ruins E550886 entity
Predicate locatedInRegion P40 FINISHED
Object Fenlands NE NERFINISHED

How this triple was built (3 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: Fenlands | Statement: [Crowland Abbey ruins, locatedInRegion, Fenlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenlands
Context triple: [Crowland Abbey ruins, locatedInRegion, Fenlands]
  • A. Cambridgeshire Fens
    The Cambridgeshire Fens are a low-lying, extensively drained agricultural landscape in eastern England, known for their fertile peat soils, straight drainage channels, and distinctive flat horizons.
  • B. Suffolk Levels
    The Suffolk Levels are a low-lying, marshy coastal landscape in eastern England known for their grazing marshes, drainage ditches, and rich wetland wildlife.
  • C. Lincolnshire Fens
    The Lincolnshire Fens are a low-lying, largely reclaimed agricultural wetland landscape in eastern England, characterized by flat fields, drainage channels, and rich arable farming.
  • D. Norfolk Fens
    The Norfolk Fens are a low-lying, marshy agricultural landscape in eastern England, characterized by extensive drainage systems and fertile peat soils.
  • E. Pontine Marshes
    The Pontine Marshes are a low-lying coastal wetland region in west-central Italy, historically notorious for malaria and later transformed by large-scale Fascist-era land reclamation and settlement projects.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fenlands
Target entity description: The Fenlands are a low-lying, marshy region of eastern England known for their extensive wetlands, rich agricultural land, and historic drainage and reclamation projects.
  • A. Cambridgeshire Fens
    The Cambridgeshire Fens are a low-lying, extensively drained agricultural landscape in eastern England, known for their fertile peat soils, straight drainage channels, and distinctive flat horizons.
  • B. Suffolk Levels
    The Suffolk Levels are a low-lying, marshy coastal landscape in eastern England known for their grazing marshes, drainage ditches, and rich wetland wildlife.
  • C. Lincolnshire Fens
    The Lincolnshire Fens are a low-lying, largely reclaimed agricultural wetland landscape in eastern England, characterized by flat fields, drainage channels, and rich arable farming.
  • D. Norfolk Fens
    The Norfolk Fens are a low-lying, marshy agricultural landscape in eastern England, characterized by extensive drainage systems and fertile peat soils.
  • E. Pontine Marshes
    The Pontine Marshes are a low-lying coastal wetland region in west-central Italy, historically notorious for malaria and later transformed by large-scale Fascist-era land reclamation and settlement projects.
  • F. None of above. chosen

Provenance (2 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15607d9948190b4b8e9cd7fa4d390 completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.