Triple
T13468477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Kerama Islands |
E311566
|
entity |
| Predicate | airAspect |
P6269
|
FINISHED |
| Object | involved suppression of Japanese airfields |
—
|
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: involved suppression of Japanese airfields | Statement: [Battle of the Kerama Islands, airAspect, involved suppression of Japanese airfields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airAspect Context triple: [Battle of the Kerama Islands, airAspect, involved suppression of Japanese airfields]
-
A.
airframer
Indicates a relationship where a company designs, manufactures, or assembles aircraft as its primary aerospace activity.
-
B.
airSupport
chosen
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
-
C.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
D.
airframe
Indicates that an entity is the structural framework or body of an aircraft associated with another entity (such as a specific model, component, or system).
-
E.
airCapability
Indicates that an entity possesses the ability or resources to operate or project power in the air (e.g., through aircraft, air defenses, or related systems).
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.