Triple
T21627800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester Model 1873 |
E533747
|
entity |
| Predicate | modernProduction |
P145289
|
FINISHED |
| Object | reproduced by several manufacturers |
—
|
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: reproduced by several manufacturers | Statement: [Winchester Model 1873, modernProduction, reproduced by several manufacturers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernProduction Context triple: [Winchester Model 1873, modernProduction, reproduced by several manufacturers]
-
A.
modernDevelopment
Indicates that something is associated with or characteristic of recent or contemporary development, progress, or advancement.
-
B.
modernUse
Indicates how something is currently used or applied in modern times.
-
C.
notableModernProduction
Indicates that there is a significant or well-recognized contemporary production or staging associated with the subject.
-
D.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
E.
modernIndustry
Indicates that an entity operates within or is characteristic of contemporary, technologically advanced industrial practices and sectors.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.