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.