Triple
T28731851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleon gun-howitzer |
E730680
|
entity |
| Predicate | standardFieldPieceFor |
P751
|
FINISHED |
| Object | Union field artillery by mid-Civil War |
—
|
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: Union field artillery by mid-Civil War | Statement: [Napoleon gun-howitzer, standardFieldPieceFor, Union field artillery by mid-Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardFieldPieceFor Context triple: [Napoleon gun-howitzer, standardFieldPieceFor, Union field artillery by mid-Civil War]
-
A.
isCharacterPieceOf
Indicates that a character is a component or constituent part of a larger entity or structure.
-
B.
usesPieceType
Indicates that one entity employs or operates using a specific type or category of piece as part of its function or activity.
-
C.
formOfIndividualPieces
Indicates that one entity represents the specific shapes, configurations, or structural forms taken by the individual pieces that compose another entity.
-
D.
standardType
chosen
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
E.
standardizedFor
Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 5:58 a.m.