Triple

T8597769
Position Surface form Disambiguated ID Type / Status
Subject River Tavy E203593 entity
Predicate hasTributary P415 FINISHED
Object River Burn E591530 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 Burn | Statement: [River Tavy, hasTributary, River Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Burn
Context triple: [River Tavy, hasTributary, River Burn]
  • A. River Burn
    River Burn is a small river in Norfolk, England, known for flowing through the village of Burnham Thorpe near the north Norfolk coast.
  • B. River Burn chosen
    River Burn is a small river in North Yorkshire, England, known for flowing through Wensleydale before joining the River Ure.
  • C. Đáy River
    Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
  • D. River Bain
    The River Bain is a small river in North Yorkshire, England, known for flowing from Semerwater to join the River Ure near Bainbridge.
  • E. River Bain
    River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46cacbe88190b95beeedc9f480b0 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebba872b8819098ba7525944bcce1 completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:24 p.m.