Triple
T35144087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type I rifle |
E1014772
|
entity |
| Predicate | stockStyle |
P106662
|
FINISHED |
| Object | Arisaka-style stock |
—
|
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: Arisaka-style stock | Statement: [Type I rifle, stockStyle, Arisaka-style stock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stockStyle Context triple: [Type I rifle, stockStyle, Arisaka-style stock]
-
A.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
-
B.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
C.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
D.
stockType
Indicates the classification or category of a stock (such as common, preferred, or another type) associated with an entity.
-
E.
styleDetail
chosen
Indicates a relationship where specific stylistic characteristics or attributes of something are described or specified in detail.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78caccc688190aac74d97b17cfb15 |
completed | May 3, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.