Triple

T2395298
Position Surface form Disambiguated ID Type / Status
Subject Maidstone E47635 entity
Predicate traversedBy P225 FINISHED
Object River Len E317699 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: River Len | Statement: [Maidstone, traversedBy, River Len]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Len
Context triple: [Maidstone, traversedBy, River Len]
  • A. River Len chosen
    The River Len is a small river in Kent, England, known for flowing through the town of Maidstone and contributing to the River Medway system.
  • B. River Brun
    River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
  • C. River Kinder
    The River Kinder is a small moorland river in the Peak District of England, known for its dramatic Kinder Downfall waterfall and rugged upland scenery.
  • D. River Bain
    River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
  • E. River Lyvennet
    River Lyvennet is a small river in Cumbria, England, flowing through the Eden Valley’s rural landscapes before joining the River Eden.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc879b1b88190be8d0337d9a17bd0 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69b324b9ba9c8190bfba5d7539cffeb2 completed March 12, 2026, 8:40 p.m.
Created at: March 4, 2026, 7:57 p.m.