Triple

T11501857
Position Surface form Disambiguated ID Type / Status
Subject HMS Ashanti E272682 entity
Predicate pennantNumber P3153 FINISHED
Object F51
F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
 E929402 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: F51 | Statement: [HMS Ashanti, pennantNumber, F51]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F51
Context triple: [HMS Ashanti, pennantNumber, F51]
  • A. F15
    F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
  • B. F-11
    F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
  • C. Black Five
    Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
  • D. Swift F.1
    The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
  • E. F117
    The F117 is a high-bypass turbofan jet engine developed by Pratt & Whitney, widely used to power the Boeing C-17 Globemaster III military transport aircraft.
  • 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: F51
Triple: [HMS Ashanti, pennantNumber, F51]
Generated description
F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F51
Target entity description: F51 is the pennant number assigned to HMS Ashanti, a Tribal-class destroyer of the Royal Navy that served during World War II.
  • A. F15
    F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
  • B. F-11
    F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
  • C. Black Five
    Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
  • D. Swift F.1
    The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
  • E. F117
    The F117 is a high-bypass turbofan jet engine developed by Pratt & Whitney, widely used to power the Boeing C-17 Globemaster III military transport aircraft.
  • 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.