Triple

T11501827
Position Surface form Disambiguated ID Type / Status
Subject HMS Gurkha (F63) E272681 entity
Predicate pennantNumber P3153 FINISHED
Object F63
F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
 E929401 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: F63 | Statement: [HMS Gurkha (F63), pennantNumber, F63]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F63
Context triple: [HMS Gurkha (F63), pennantNumber, F63]
  • A. F36
    F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • B. FR-63
    FR-63 is the ISO 3166-2 code assigned to the Puy-de-Dôme department in central France.
  • C. F32/F33/F36
    The F32/F33/F36 BMW 4 Series is the first generation of BMW's compact executive coupé, convertible, and four-door Gran Coupé models, produced from 2013 to 2020 and based on the F30 3 Series platform.
  • D. F33
    F33 is BMW’s internal designation for the first-generation 4 Series convertible model.
  • E. F-3
    F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
  • 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: F63
Triple: [HMS Gurkha (F63), pennantNumber, F63]
Generated description
F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F63
Target entity description: F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
  • A. F36
    F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • B. FR-63
    FR-63 is the ISO 3166-2 code assigned to the Puy-de-Dôme department in central France.
  • C. F32/F33/F36
    The F32/F33/F36 BMW 4 Series is the first generation of BMW's compact executive coupé, convertible, and four-door Gran Coupé models, produced from 2013 to 2020 and based on the F30 3 Series platform.
  • D. F33
    F33 is BMW’s internal designation for the first-generation 4 Series convertible model.
  • E. F-3
    F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de55cbc8190be71c2d03dc044f2 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
NEDg Description generation batch_69e610a82c308190927158dbd566b0d4 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e61853a3b48190b0d132761e9be69c completed April 20, 2026, 12:13 p.m.
Created at: April 8, 2026, 9:36 p.m.