Triple

T9820370
Position Surface form Disambiguated ID Type / Status
Subject Vickers Warwick E238513 entity
Predicate variant P4680 FINISHED
Object Warwick GR
Warwick GR was a maritime reconnaissance and patrol version of the British Vickers Warwick aircraft used during World War II.
 E823816 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: Warwick GR | Statement: [Vickers Warwick, variant, Warwick GR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warwick GR
Context triple: [Vickers Warwick, variant, Warwick GR]
  • A. Warwick
    Warwick is a regional city in Queensland, Australia, known as an agricultural and service hub on the Southern Downs.
  • B. Warwick
    Warwick is a surname of English origin borne by various notable individuals and families, including members of the Drinkard and Warwick musical families.
  • C. Warwick
    Warwick is a central character in the 1990 horror film "Graveyard Shift," known for his role in the sinister events that unfold in the movie's haunted textile mill.
  • D. Warwick
    Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
  • E. Warwick
    Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
  • 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: Warwick GR
Triple: [Vickers Warwick, variant, Warwick GR]
Generated description
Warwick GR was a maritime reconnaissance and patrol version of the British Vickers Warwick aircraft used during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warwick GR
Target entity description: Warwick GR was a maritime reconnaissance and patrol version of the British Vickers Warwick aircraft used during World War II.
  • A. Warwick
    Warwick is a surname of English origin borne by various notable individuals and families, including members of the Drinkard and Warwick musical families.
  • B. Warwick
    Warwick is a central character in the 1990 horror film "Graveyard Shift," known for his role in the sinister events that unfold in the movie's haunted textile mill.
  • C. Warwick
    Warwick is a historic coastal city in Rhode Island known for its role in early American colonial history and as a major suburb of Providence.
  • D. Warwick
    Warwick is a regional city in Queensland, Australia, known as an agricultural and service hub on the Southern Downs.
  • E. Warwick
    Warwick is a historic market town in the English Midlands, renowned for its medieval architecture and the prominent Warwick Castle.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb313134081908eb0ba3a22b22e2b completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc78ffcc8190bb26a224350376dc completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd8e7c548190bc3f10004db80925 completed April 5, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce1aead081908da4a85ded350c17 completed April 5, 2026, 2:51 a.m.
Created at: March 30, 2026, 8:31 p.m.