Triple
T5618082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese destroyer Yudachi |
E147527
|
entity |
| Predicate | navalClassGeneration |
P65451
|
FINISHED |
| Object | Pre-war Japanese destroyer design |
—
|
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: Pre-war Japanese destroyer design | Statement: [Japanese destroyer Yudachi, navalClassGeneration, Pre-war Japanese destroyer design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalClassGeneration Context triple: [Japanese destroyer Yudachi, navalClassGeneration, Pre-war Japanese destroyer design]
-
A.
navalStandardType
Indicates the specific naval standard or classification system under which an entity (such as a vessel, equipment, or procedure) is defined or regulated.
-
B.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
C.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
D.
navalAnalogue
Indicates that one entity serves as the naval or maritime counterpart or equivalent of another entity in function, role, or classification.
-
E.
navalArchitecture
Indicates the design, engineering, and construction-related relationship between entities involved in ships or other marine vessels.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dc04c081909f36e40394e7c955 |
completed | March 22, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f40df64819089a659ea00a835ef |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:40 p.m.