Triple

T4535653
Position Surface form Disambiguated ID Type / Status
Subject Sunderland, United Kingdom E107401 entity
Predicate locatedOnRiver P165 FINISHED
Object River Wear E101516 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 Wear | Statement: [Sunderland, United Kingdom, locatedOnRiver, River Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Wear
Context triple: [Sunderland, United Kingdom, locatedOnRiver, River Wear]
  • A. River Wear chosen
    The River Wear is a river in northeast England that flows through County Durham and the city of Durham before reaching the North Sea at Sunderland.
  • B. River Aire
    The River Aire is a major river in Yorkshire, England, flowing through industrial and urban centers such as Leeds and contributing significantly to the region’s navigation and waterways network.
  • C. River Hull
    River Hull is a navigable river in the East Riding of Yorkshire, England, that flows through the city of Kingston upon Hull before joining the Humber Estuary.
  • D. River Brit
    The River Brit is a small river in West Dorset, England, that flows through the town of Bridport before reaching the English Channel at West Bay.
  • E. River Brun
    River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b634b08190845d04213cf8d5b9 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacf016d0819080665256c84d37a3 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:04 p.m.