Triple
T28309286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6.5 Grendel |
E713951
|
entity |
| Predicate | advantageOver 5.56×45mm NATO |
P164254
|
FINISHED |
| Object | better long-range energy retention |
—
|
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: better long-range energy retention | Statement: [6.5 Grendel, advantageOver 5.56×45mm NATO, better long-range energy retention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOver 5.56×45mm NATO Context triple: [6.5 Grendel, advantageOver 5.56×45mm NATO, better long-range energy retention]
-
A.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
B.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
C.
powerComparedToLongGun
Indicates how the power or effectiveness of something compares relative to that of a long gun.
-
D.
hasHeavierBarrelThan
Indicates that the barrel of one entity has a greater weight than the barrel of another entity.
-
E.
natoCaliberClass
Indicates that two ammunition types share the same standardized NATO caliber classification.
- 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_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. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:39 p.m.