Triple
T31590741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 10 main battle tank |
E806089
|
entity |
| Predicate | gunOrigin |
P89764
|
FINISHED |
| Object | Japan Steel Works 120 mm gun |
—
|
NE NERFINISHED |
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: Japan Steel Works 120 mm gun | Statement: [Type 10 main battle tank, gunOrigin, Japan Steel Works 120 mm gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunOrigin Context triple: [Type 10 main battle tank, gunOrigin, Japan Steel Works 120 mm gun]
-
A.
armamentOrigin
chosen
Indicates the source or place from which a weapon or armament originates or is supplied.
-
B.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
C.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
D.
hasOriginalGuns
Indicates that an entity retains or is equipped with its initial, unmodified set of guns.
-
E.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a82ff6f081909acb6c9ef7a1bcba |
completed | May 3, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:28 p.m.