Triple

T12929398
Position Surface form Disambiguated ID Type / Status
Subject HMS Tartar E309333 entity
Predicate pennantNumber P3153 FINISHED
Object F43
F43 is the pennant number of HMS Tartar, a Royal Navy Tribal-class destroyer that served prominently during the Second World War.
E1011396 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: F43 | Statement: [HMS Tartar, pennantNumber, F43]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F43
Context triple: [HMS Tartar, pennantNumber, F43]
  • A. F33
    F33 is BMW’s internal designation for the first-generation 4 Series convertible model.
  • B. F.40
    F.40 is the catalog designation for J.S. Bach’s Harpsichord Concerto in D minor, one of his most frequently performed and recorded keyboard concertos.
  • C. F63
    F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
  • D. F36
    F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • E. F24
    F24 was the pennant number of HMS Maori, a British Tribal-class destroyer that served with distinction in the Royal Navy during World War II.
  • 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: F43
Triple: [HMS Tartar, pennantNumber, F43]
Generated description
F43 is the pennant number of HMS Tartar, a Royal Navy Tribal-class destroyer that served prominently during the Second World War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: F43
Target entity description: F43 is the pennant number of HMS Tartar, a Royal Navy Tribal-class destroyer that served prominently during the Second World War.
  • A. F33
    F33 is BMW’s internal designation for the first-generation 4 Series convertible model.
  • B. F.40
    F.40 is the catalog designation for J.S. Bach’s Harpsichord Concerto in D minor, one of his most frequently performed and recorded keyboard concertos.
  • C. F63
    F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
  • D. F36
    F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • E. F24
    F24 was the pennant number of HMS Maori, a British Tribal-class destroyer that served with distinction in the Royal Navy during World War II.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b115720481908796955032043530 completed May 3, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ea3d288190875888be8356da48 completed May 3, 2026, 2:24 a.m.
Created at: April 9, 2026, 5:42 p.m.