Triple
T28309181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .223 Remington |
E713949
|
entity |
| Predicate | typicalBulletWeightRange |
P107501
|
FINISHED |
| Object | 40–77 grains |
—
|
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: 40–77 grains | Statement: [.223 Remington, typicalBulletWeightRange, 40–77 grains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBulletWeightRange Context triple: [.223 Remington, typicalBulletWeightRange, 40–77 grains]
-
A.
standardBulletWeight
chosen
Indicates the typical or commonly accepted mass of a given type of bullet under standard specifications.
-
B.
typicalRifleWeightLimit
Indicates the maximum weight that is generally considered standard or acceptable for a typical rifle.
-
C.
munitionWeightCategory
Indicates the classification of a munition based on its weight range or weight-related category.
-
D.
rangeStandardAmmunition
Indicates that the relationship specifies the standard type of ammunition used for a given range or weapon system.
-
E.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
Created at: April 27, 2026, 11:39 p.m.