Triple

T15342454
Position Surface form Disambiguated ID Type / Status
Subject Dinnet E366829 entity
Predicate watercourse P415 FINISHED
Object River Dee E78595 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 Dee | Statement: [Dinnet, watercourse, River Dee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Dee
Context triple: [Dinnet, watercourse, River Dee]
  • A. River Dee chosen
    River Dee is a major river in northeastern Scotland that flows through the Cairngorms and Royal Deeside, renowned for its scenic beauty and association with the British royal family.
  • B. River Dee
    The River Dee is a historically significant river in the United Kingdom that flows through Wales and England, notably passing through the city of Chester before reaching the Irish Sea.
  • C. River Dee
    River Dee is a river in northeastern Ireland that flows through County Louth and neighboring counties before emptying into the Irish Sea.
  • D. River Dee (Galloway)
    River Dee (Galloway) is a river in southwest Scotland that flows through the Galloway region from the Southern Uplands to the Solway Firth.
  • E. Chocolate River
    Chocolate River is the fantastical flowing river of liquid chocolate inside Willy Wonka’s magical candy factory in Roald Dahl’s story.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b41f130819082ea69ea535468ce completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.