Triple
T17965927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōtetsu |
E449204
|
entity |
| Predicate | typeOfArmament |
P82101
|
FINISHED |
| Object | naval artillery |
—
|
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: naval artillery | Statement: [Kōtetsu, typeOfArmament, naval artillery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfArmament Context triple: [Kōtetsu, typeOfArmament, naval artillery]
-
A.
armamentCategory
chosen
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
-
B.
refersToArmamentRole
Indicates that one entity specifies or denotes the armament-related role or function associated with another entity.
-
C.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
D.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
-
E.
armamentCount
Indicates the number of weapons or armaments associated with an entity.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1380960819089a3c0dd7cd57e5e |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.