Triple
T31112770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances |
E792996
|
entity |
| Predicate | serviceBranchOfDesignatedAircraft |
P8658
|
FINISHED |
| Object | Imperial Japanese Navy |
—
|
NE NERFINISHED |
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: Imperial Japanese Navy | Statement: [Frances, serviceBranchOfDesignatedAircraft, Imperial Japanese Navy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceBranchOfDesignatedAircraft Context triple: [Frances, serviceBranchOfDesignatedAircraft, Imperial Japanese Navy]
-
A.
servesAviationType
Indicates that one entity provides services or functions specifically for a particular type or category of aviation.
-
B.
isPartOfAviationSystem
Indicates that something functions as a component or subsystem within a broader aviation system or infrastructure.
-
C.
aircraftTypeSpecialty
Indicates that an entity has a specialized focus, qualification, or expertise related to a particular type of aircraft.
-
D.
primaryAircraftBranch
chosen
Indicates the military branch or service to which an aircraft is primarily assigned or affiliated.
-
E.
aircraftRoleOfDesignatedAircraft
Indicates that an aircraft has the specified operational role or function as a designated aircraft within a particular context or mission.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 9:04 p.m.