Triple
T7684672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springfield Model 1861 rifle-musket |
E174084
|
entity |
| Predicate | barrelType |
P78913
|
FINISHED |
| Object | rifled barrel |
—
|
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: rifled barrel | Statement: [Springfield Model 1861 rifle-musket, barrelType, rifled barrel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barrelType Context triple: [Springfield Model 1861 rifle-musket, barrelType, rifled barrel]
-
A.
barrelLife
Indicates the duration or extent to which a barrel remains functional or effective before it needs replacement or maintenance.
-
B.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
C.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
D.
breweryType
Indicates the specific category or classification of a brewery based on its operational or business characteristics.
-
E.
beerStyle
Indicates that one entity is the style or type classification of a beer associated with 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7048a01508190bc2e9ae8b863486c |
completed | March 27, 2026, 10:28 p.m. |
Created at: March 27, 2026, 4:02 p.m.