Triple
T28731891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitworth rifle |
E730681
|
entity |
| Predicate | advantageOverPattern1853Enfield |
P167375
|
FINISHED |
| Object | greater accuracy |
—
|
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: greater accuracy | Statement: [Whitworth rifle, advantageOverPattern1853Enfield, greater accuracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverPattern1853Enfield Context triple: [Whitworth rifle, advantageOverPattern1853Enfield, greater accuracy]
-
A.
advantageOver 5.56×45mm NATO
Indicates that one entity possesses a superior quality, performance, or benefit in comparison to the 5.56×45mm NATO round.
-
B.
advantageOver 7.62×39mm
Indicates that one entity possesses a superior quality, performance, or benefit in comparison to the 7.62×39mm cartridge.
-
C.
hasHeavierBarrelThan
Indicates that the barrel of one entity has a greater weight than the barrel of another entity.
-
D.
Berdan No.1 rifle
Indicates that an entity is a Berdan No.1 rifle, i.e., it has the identity or classification of that specific rifle model.
-
E.
armamentAdvantage
Indicates that one entity possesses a superior or more effective set of weapons or armaments compared to another entity.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 5:58 a.m.