Triple
T4859778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosa-class battleship |
E108627
|
entity |
| Predicate | gunCaliberClass |
P6076
|
FINISHED |
| Object | 16-inch-class battleship |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 16-inch-class battleship | Statement: [Tosa-class battleship, gunCaliberClass, 16-inch-class battleship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunCaliberClass Context triple: [Tosa-class battleship, gunCaliberClass, 16-inch-class battleship]
-
A.
gunCalibre
chosen
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
B.
natoCaliberClass
Indicates that two ammunition types share the same standardized NATO caliber classification.
-
C.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
D.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
E.
weaponCategory
Indicates the classification or type of weapon to which an item or armament belongs.
- F. None of above.
Provenance (3 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.