Triple

T14573701
Position Surface form Disambiguated ID Type / Status
Subject River Orwell E341982 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Levington E301439 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: Levington | Statement: [River Orwell, hasNearbyVillage, Levington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levington
Context triple: [River Orwell, hasNearbyVillage, Levington]
  • A. Levington chosen
    Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
  • B. Culverden
    Culverden is a small rural town in North Canterbury, New Zealand, known as a service centre for the surrounding farming region and for its nearby hot springs.
  • C. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • D. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • E. Lockington
    Lockington is a small rural town in northern Victoria, Australia, known for its agricultural community and historic railway heritage.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b5d97481908b2d3d531817a3a6 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:24 a.m.