Triple

T14169
Position Surface form Disambiguated ID Type / Status
Subject Blitz E283 entity
Predicate location P40 FINISHED
Object Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
E14847 NE FINISHED

How this triple was built (4 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: Coventry | Statement: [Blitz, location, Coventry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coventry
Context triple: [Blitz, location, Coventry]
  • A. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • B. Birmingham
    Birmingham is a major industrial city in England’s West Midlands, historically significant for its manufacturing heritage and heavy bombing during the Second World War.
  • C. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • D. Stockport
    Stockport is a large town in Greater Manchester, England, situated southeast of central Manchester and forming part of the wider Manchester urban area.
  • E. Leigh
    Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Coventry
Triple: [Blitz, location, Coventry]
Generated description
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coventry
Target entity description: Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • A. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • B. Birmingham
    Birmingham is a major industrial city in England’s West Midlands, historically significant for its manufacturing heritage and heavy bombing during the Second World War.
  • C. Surrey
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • D. Warrington
    Warrington is a large town in Cheshire, England, situated between Liverpool and Manchester on the River Mersey and known historically for its role in industry and transport.
  • E. Stockport
    Stockport is a large town in Greater Manchester, England, situated southeast of central Manchester and forming part of the wider Manchester urban area.
  • F. None of above. chosen

Provenance (5 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a240014418819090625e2fb774a2e6 completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3cd69288190b2321a4478699c56 completed Feb. 28, 2026, 8:14 a.m.
NEDg Description generation batch_69a2a5e6e260819085b4de29c3234b54 completed Feb. 28, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69a2a65e32e881908e743380f8868cc0 completed Feb. 28, 2026, 8:25 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.