Triple

T1049582
Position Surface form Disambiguated ID Type / Status
Subject Reading E22663 entity
Predicate locatedOn P40 FINISHED
Object River Kennet E37609 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 Kennet | Statement: [Reading, locatedOn, River Kennet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Kennet
Context triple: [Reading, locatedOn, River Kennet]
  • A. River Kennet chosen
    River Kennet is a significant chalk stream in southern England that flows through Wiltshire and Berkshire before joining the River Thames.
  • B. River Rother
    The River Rother is a river in central England that flows through Derbyshire and South Yorkshire before joining the River Don.
  • C. River Great Ouse
    The River Great Ouse is one of the major rivers in eastern England, flowing through several counties and historic towns before reaching The Wash on the North Sea.
  • D. River Darent
    River Darent is a chalk stream river in Kent, England, flowing north through the Darent Valley to join the River Thames.
  • E. River Cherwell
    The River Cherwell is a major tributary of the River Thames in central England, flowing through Northamptonshire and Oxfordshire and notably running through the city of Oxford.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b2c6208190b6fdf3e93b1b1d04 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5bc6348190a0d23fe269707e1b completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:42 p.m.