Triple
T22712524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannone da 149/35 A |
E561638
|
entity |
| Predicate | gunLengthDesignation |
P75830
|
FINISHED |
| Object | 35 calibers |
—
|
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: 35 calibers | Statement: [Cannone da 149/35 A, gunLengthDesignation, 35 calibers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunLengthDesignation Context triple: [Cannone da 149/35 A, gunLengthDesignation, 35 calibers]
-
A.
weaponLength
Indicates the length or size of a weapon associated with an entity.
-
B.
barrelLengthInCalibers
chosen
Indicates the length of a barrel expressed as a multiple of its bore diameter (in calibers), describing how many times the bore diameter fits into the barrel length.
-
C.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
D.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
E.
hasBarrelLongerThan
Indicates that one entity’s barrel length is greater than that of another 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790998fc8190962e21a28dd08d29 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:18 p.m.