Triple
T11363550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagato class |
E269145
|
entity |
| Predicate | navalGunCaliber |
P6076
|
FINISHED |
| Object | 16 inch |
—
|
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 | Statement: [Nagato class, navalGunCaliber, 16 inch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalGunCaliber Context triple: [Nagato class, navalGunCaliber, 16 inch]
-
A.
gunCalibre
chosen
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
B.
torpedoCaliber
Indicates the specific diameter or size classification of a torpedo used in a given context or system.
-
C.
natoCaliberClass
Indicates that two ammunition types share the same standardized NATO caliber classification.
-
D.
numberOfMainBatteryGuns
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
E.
numberOfMissileTubes
Indicates the quantity of missile tubes that an entity possesses or is equipped with.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.