Triple

T1049601
Position Surface form Disambiguated ID Type / Status
Subject Reading E22663 entity
Predicate isCommercialCentreFor P9422 FINISHED
Object Thames Valley E124576 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: Thames Valley | Statement: [Reading, isCommercialCentreFor, Thames Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thames Valley
Context triple: [Reading, isCommercialCentreFor, Thames Valley]
  • A. Thames Valley chosen
    Thames Valley is a region in southern England centered around the River Thames, encompassing major towns and economic hubs such as Reading, Oxford, and Slough.
  • B. Mole Valley
    Mole Valley is a local government district in Surrey, England, encompassing market towns and rural communities within the North Downs.
  • C. London Basin
    The London Basin is a geological and historical region in southeast England encompassing the area around London, characterized by its sedimentary rock formations and long-standing human settlement.
  • D. Cheshire Basin
    The Cheshire Basin is a large geological sedimentary basin in northwest England known for its thick Triassic rock sequences and associated salt deposits.
  • E. Cherwell
    Cherwell is a local government district in Oxfordshire, England, encompassing towns such as Banbury, Bicester, and Kidlington.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b2c6208190b6fdf3e93b1b1d04 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1b4c3481909ec58291dc9cc32f completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.