Triple

T697057
Position Surface form Disambiguated ID Type / Status
Subject Montgomeryshire E13915 entity
Predicate containsRiver P165 FINISHED
Object River Vyrnwy E51129 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 Vyrnwy | Statement: [Montgomeryshire, containsRiver, River Vyrnwy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Vyrnwy
Context triple: [Montgomeryshire, containsRiver, River Vyrnwy]
  • A. River Vyrnwy chosen
    River Vyrnwy is a river in Wales and western England that flows from Lake Vyrnwy through Powys and Shropshire, contributing significantly to the River Severn catchment.
  • B. River Taff
    The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
  • C. River Dwyryd
    River Dwyryd is a river in Gwynedd, Wales, that flows through Snowdonia to reach the estuary near Porthmadog on the west coast.
  • D. Rhymney River
    The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
  • E. Neath
    Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c8055881909565ebde2be8fd7a completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c005750881909187edfa8e8fa02c completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:36 p.m.