Triple
T37850408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese destroyer Akizuki |
E944034
|
entity |
| Predicate | successorClassInfluence |
P10131
|
FINISHED |
| Object | Influenced later Japanese destroyer designs |
—
|
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: Influenced later Japanese destroyer designs | Statement: [Japanese destroyer Akizuki, successorClassInfluence, Influenced later Japanese destroyer designs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorClassInfluence Context triple: [Japanese destroyer Akizuki, successorClassInfluence, Influenced later Japanese destroyer designs]
-
A.
successorFlagInfluence
Indicates that one entity’s status or behavior as a successor is affected or determined by a flag or indicator associated with another entity.
-
B.
successorRoleInfluence
Indicates that one role affects, shapes, or determines the characteristics, responsibilities, or authority of the role that succeeds it.
-
C.
successorClass
chosen
Indicates that one class directly follows or replaces another class in a sequence or hierarchy.
-
D.
successorImpacted
Indicates that a successor entity is affected or influenced as a result of the predecessor’s state, action, or outcome.
-
E.
successorRegulationInfluenced
Indicates that a subsequent regulation was shaped or affected by the content, intent, or impact of an earlier regulation.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
Created at: May 3, 2026, 4:19 p.m.