Triple
T21627795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester Model 1873 |
E533747
|
entity |
| Predicate | approximateTotalProduced |
P99700
|
FINISHED |
| Object | over 700000 units |
—
|
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: over 700000 units | Statement: [Winchester Model 1873, approximateTotalProduced, over 700000 units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTotalProduced Context triple: [Winchester Model 1873, approximateTotalProduced, over 700000 units]
-
A.
approximateProductionNumber
chosen
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
-
B.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
C.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
D.
productionStartApproximate
Indicates that the start of production for something is known only approximately rather than as an exact date or time.
-
E.
productionCapacity
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
- 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_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. |
Created at: April 16, 2026, 6:34 p.m.