Triple

T11027140
Position Surface form Disambiguated ID Type / Status
Subject Radyr E260654 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Danescourt E799961 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: Danescourt | Statement: [Radyr, hasNeighbouringSettlement, Danescourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danescourt
Context triple: [Radyr, hasNeighbouringSettlement, Danescourt]
  • A. Danescourt chosen
    Danescourt is a suburban residential area of Cardiff, Wales, situated close to the historic district of Llandaff.
  • B. Crystal Court
    Crystal Court is a local shopping center serving the community of Crystal Lake, Illinois with a variety of retail and service businesses.
  • C. Killian Court
    Killian Court is a large, iconic open space at the heart of MIT’s Cambridge campus, framed by neoclassical buildings and often used for major ceremonies and gatherings.
  • D. Sunningdale
    Sunningdale is an affluent village in Berkshire, England, known for its prestigious golf courses and leafy residential character.
  • E. Marsh Court
    Marsh Court is an early 20th-century English country house in Hampshire, celebrated as a quintessential example of Sir Edwin Lutyens’ Arts and Crafts domestic architecture.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d190f08190bcb5949ee24306f1 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3753451e08190bc42ab99d01926f9 completed April 18, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:25 p.m.