Triple

T1536102
Position Surface form Disambiguated ID Type / Status
Subject South Kesteven E32551 entity
Predicate hasParish P35 FINISHED
Object Market Deeping E174599 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: Market Deeping | Statement: [South Kesteven, hasParish, Market Deeping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Market Deeping
Context triple: [South Kesteven, hasParish, Market Deeping]
  • A. Market Deeping chosen
    Market Deeping is a small market town in Lincolnshire, England, known for its historic architecture and position near the River Welland.
  • B. Marketplace
    Marketplace is a long-running public radio program and podcast focused on in-depth coverage and analysis of business, economic, and financial news.
  • C. Main Market
    Main Market is the London Stock Exchange’s primary listing venue for large, established companies that meet the exchange’s highest regulatory and disclosure standards.
  • D. Private Markets
    Private Markets is a KKR business division focused on investing in non-public assets such as private equity, real estate, infrastructure, and other alternative investments.
  • E. MKT
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90829e60081909d3f9f79585e080e completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3706935481909455528b1bc4ce6c completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.