Triple
T14023202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 空母「赤城」 |
E337386
|
entity |
| Predicate | 所属海軍区分 |
P59533
|
FINISHED |
| Object | 機動部隊中核艦 |
—
|
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: 機動部隊中核艦 | Statement: [空母「赤城」, 所属海軍区分, 機動部隊中核艦]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属海軍区分 Context triple: [空母「赤城」, 所属海軍区分, 機動部隊中核艦]
-
A.
所属艦
Indicates a relationship where something belongs to, is assigned to, or is part of a particular ship.
-
B.
militaryBranchComponentOf
chosen
Indicates that one military branch or unit is an organizational component or subordinate part of a larger military branch or force.
-
C.
militaryBranchAssociatedWith
Indicates a relationship where an entity is connected to, or operates as part of, a specific branch of a military organization.
-
D.
USNDesignation
Indicates the formal designation assigned by the United States Navy to identify and classify a ship, aircraft, or other naval asset.
-
E.
RoyalNavyDesignation
Indicates that an entity has been assigned an official designation or identifier by the Royal Navy.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3d87b88190b038d334f4965369 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.