Triple
T32506832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CZ 97B |
E830821
|
entity |
| Predicate | isLargerCaliberCounterpartOf |
P174524
|
FINISHED |
| Object | CZ 75 |
—
|
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: CZ 75 | Statement: [CZ 97B, isLargerCaliberCounterpartOf, CZ 75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargerCaliberCounterpartOf Context triple: [CZ 97B, isLargerCaliberCounterpartOf, CZ 75]
-
A.
hasHeavierBarrelThan
Indicates that the barrel of one entity has a greater weight than the barrel of another entity.
-
B.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
C.
successorCaliber
Indicates that one entity serves as the successor or follow-up version in terms of quality, standard, or specification relative to another.
-
D.
powerComparedToLongGun
Indicates how the power or effectiveness of something compares relative to that of a long gun.
-
E.
hasSmallCalibreGuns
Indicates that the subject is equipped with or possesses guns of relatively small calibre compared to standard or typical armaments.
- F. None of above. chosen
Provenance (4 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c44bf4d481909a401bf086d57bb6 |
completed | May 3, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1 a.m.