Triple
T28731855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleon gun-howitzer |
E730680
|
entity |
| Predicate | commonProjectileWeight |
P107501
|
FINISHED |
| Object | 12 pounds |
—
|
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: 12 pounds | Statement: [Napoleon gun-howitzer, commonProjectileWeight, 12 pounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonProjectileWeight Context triple: [Napoleon gun-howitzer, commonProjectileWeight, 12 pounds]
-
A.
standardBulletWeight
chosen
Indicates the typical or commonly accepted mass of a given type of bullet under standard specifications.
-
B.
munitionWeightCategory
Indicates the classification of a munition based on its weight range or weight-related category.
-
C.
involvesProjectile
Indicates that the action or event includes the use, presence, or motion of a projectile as a key component of the interaction between entities.
-
D.
typicalWeapon
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
E.
artilleryWeight
Indicates the weight or mass associated with a piece of artillery in the relationship.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 28, 2026, 5:58 a.m.