Triple
T28309193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .223 Remington |
E713949
|
entity |
| Predicate | powderType |
P16615
|
FINISHED |
| Object | smokeless powder |
—
|
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: smokeless powder | Statement: [.223 Remington, powderType, smokeless powder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powderType Context triple: [.223 Remington, powderType, smokeless powder]
-
A.
grindType
Indicates the specific way or degree to which something is ground or milled, such as the fineness or style of grinding applied.
-
B.
substanceType
chosen
Indicates the specific kind or category of substance associated with an entity or relation.
-
C.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
D.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
sparklingType
Indicates that one entity is classified as a specific type or category within the broader class of sparkling items or phenomena.
- 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_69f644e0e9e48190818f7bf2204ec741 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:39 p.m.