Triple

T14761835
Position Surface form Disambiguated ID Type / Status
Subject River Gaywood E346881 entity
Predicate hasName P744 FINISHED
Object River Gaywood E346881 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 Gaywood | Statement: [River Gaywood, hasName, River Gaywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Gaywood
Context triple: [River Gaywood, hasName, River Gaywood]
  • A. River Gaywood chosen
    River Gaywood is a small river in Norfolk, England, that flows through the town of King’s Lynn before joining the Great Ouse.
  • B. River Wick
    River Wick is a small river in northern Scotland that flows through the town of Wick before entering the North Sea.
  • C. River Gaunless
    River Gaunless is a small river in County Durham, England, that flows through former coal-mining areas before joining the River Wear.
  • D. River Ryburn
    River Ryburn is a river in West Yorkshire, England, that flows through the Ryburn Valley and joins the River Calder near the town of Sowerby Bridge.
  • E. 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.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef885b07c8190af5e33303af9fbea completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 1:30 a.m.