Triple

T20439979
Position Surface form Disambiguated ID Type / Status
Subject River Dean E501357 entity
Predicate hasName P744 FINISHED
Object River Dean NE NERFINISHED

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 Dean | Statement: [River Dean, hasName, River Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Dean
Context triple: [River Dean, hasName, River Dean]
  • A. River Dean chosen
    River Dean is a small river in Cheshire, England, that flows through the town of Bollington and the surrounding countryside.
  • 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 Brent
    The River Brent is a tributary of the River Thames in West London, flowing through several London boroughs and giving its name to the London Borough of Brent.
  • D. River Brede
    The River Brede is a small river in East Sussex, England, that flows through the Romney Marsh area and joins the River Rother near the town of Rye.
  • E. River Nore
    River Nore is a major river in southeastern Ireland known for flowing through scenic countryside and historic towns, including the city of Kilkenny.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f20fe08190b9370b523a20153d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.