Triple
T16587044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinsei 45 |
E402985
|
entity |
| Predicate | powerOutputCharacteristic |
P123427
|
FINISHED |
| Object | improved power output over earlier Kinsei variants |
—
|
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: improved power output over earlier Kinsei variants | Statement: [Kinsei 45, powerOutputCharacteristic, improved power output over earlier Kinsei variants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerOutputCharacteristic Context triple: [Kinsei 45, powerOutputCharacteristic, improved power output over earlier Kinsei variants]
-
A.
powerOutputW
Indicates the amount of power produced or delivered by an entity, measured in watts.
-
B.
powerOutput_kW
Indicates the amount of power produced or delivered by something, measured in kilowatts.
-
C.
powerOutputType
Indicates the specific form or category of power output associated with an entity, such as electrical, mechanical, or thermal.
-
D.
powerOutputApprox
Indicates an approximate or estimated value for the power output produced by an entity or system.
-
E.
designPowerOutput
Indicates the intended or specified power output level that something is designed to produce under defined conditions.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599daa508190a9ed6f64138c0e53 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.