Triple
T23123464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marmon Wasp |
E576960
|
entity |
| Predicate | productionCount |
P7997
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Marmon Wasp, productionCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionCount Context triple: [Marmon Wasp, productionCount, 1]
-
A.
totalProduction
chosen
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
B.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
C.
productionCapacity
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
-
D.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
E.
approximateProductionNumber
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5299c08190a578102cf2ff7080 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.