Triple

T883308
Position Surface form Disambiguated ID Type / Status
Subject Shropshire E19073 entity
Predicate contains P35 FINISHED
Object River Teme E52044 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 Teme | Statement: [Shropshire, contains, River Teme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Teme
Context triple: [Shropshire, contains, River Teme]
  • A. River Teme chosen
    River Teme is a major river in Wales and western England known for its scenic rural course and role as a significant tributary of the River Severn.
  • B. River Soar
    The River Soar is a major river in central England that flows through Leicestershire and the city of Leicester before joining the River Trent.
  • C. River Goyt
    The River Goyt is a river in North West England that flows through the Peak District and Stockport, contributing as a major headwater to the River Mersey.
  • D. River Leine
    The River Leine is a major river in central Germany that flows through the city of Hanover and several federal states before joining the Aller.
  • E. River Avon
    River Avon is a river in central England best known for flowing through Stratford-upon-Avon, the birthplace of William Shakespeare.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc5ff51c48190ab9b096d9d885d8f completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:39 p.m.