Triple
T5987644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Kaga |
E133266
|
entity |
| Predicate | launchedAircraftFor |
P4685
|
FINISHED |
| Object | first wave of Pearl Harbor attack |
—
|
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: first wave of Pearl Harbor attack | Statement: [Japanese aircraft carrier Kaga, launchedAircraftFor, first wave of Pearl Harbor attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchedAircraftFor Context triple: [Japanese aircraft carrier Kaga, launchedAircraftFor, first wave of Pearl Harbor attack]
-
A.
launchedAircraftIn
chosen
Indicates that an entity initiated the takeoff or deployment of an aircraft within a specified location or context.
-
B.
developedAircraft
Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
-
C.
referredAircraftUsedIn
Indicates that an aircraft being referred to is the one that was actually used in a particular event, operation, or context.
-
D.
aircraftCommanded
Indicates that one entity serves as the commanding officer or leader in charge of operating, directing, or overseeing the other entity, which is an aircraft.
-
E.
aircraftFlown
Indicates that an entity (typically a person or organization) operates or pilots a particular aircraft.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc38a308190a368c5c787a5fc64 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.