Triple
T31250644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokosuka aircraft |
E796806
|
entity |
| Predicate | organizationTypeOfManufacturer |
P21168
|
FINISHED |
| Object | naval technical arsenal |
—
|
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: naval technical arsenal | Statement: [Yokosuka aircraft, organizationTypeOfManufacturer, naval technical arsenal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTypeOfManufacturer Context triple: [Yokosuka aircraft, organizationTypeOfManufacturer, naval technical arsenal]
-
A.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
B.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
C.
organizationTypeMarketed
Indicates that an organization is promoted, advertised, or presented to the public as being of a particular organizational type (e.g., nonprofit, government agency, corporation).
-
D.
creatorOrganizationType
chosen
Indicates the type or category of organization that created or is responsible for the entity.
-
E.
organizationTypeOfHolder
Indicates that a specified organization serves as the type or category of the holder in the given relationship.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 9:11 p.m.