Triple

T10472410
Position Surface form Disambiguated ID Type / Status
Subject St Mary the Virgin, Southery E246957 entity
Predicate locatedInVillage P40 FINISHED
Object Southery E49537 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: Southery | Statement: [St Mary the Virgin, Southery, locatedInVillage, Southery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southery
Context triple: [St Mary the Virgin, Southery, locatedInVillage, Southery]
  • A. Southery chosen
    Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
  • B. Nolen-Swinburne
    Nolen-Swinburne is an architectural firm known for its role in designing the modernist Robert C. Weaver Federal Building, headquarters of the U.S. Department of Housing and Urban Development in Washington, D.C.
  • C. Swinburne
    Swinburne was a prominent Victorian-era English poet and critic known for his innovative verse forms, musical language, and often controversial themes.
  • D. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • E. Cunlhat
    Cunlhat is a small rural commune in central France’s Puy-de-Dôme department, known for its traditional Auvergne countryside setting.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094cec788190a485c5c9e7cd024a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a0140f4c81908ce95b28e09cb04b completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.