Triple
T14808595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogue de Bordeaux |
E348107
|
entity |
| Predicate | muzzleType |
P115810
|
FINISHED |
| Object | short muzzle |
—
|
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: short muzzle | Statement: [Dogue de Bordeaux, muzzleType, short muzzle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muzzleType Context triple: [Dogue de Bordeaux, muzzleType, short muzzle]
-
A.
hasMuzzle
Indicates that one entity possesses or is equipped with a muzzle, typically as a restraining or protective device.
-
B.
muzzleVelocity
Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
-
C.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
D.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
E.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:45 a.m.