Triple
T3226827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淵田 美津雄 |
E67642
|
entity |
| Predicate | 関係する歴史的文脈 |
P1409
|
FINISHED |
| Object | 太平洋戦争開戦時の日本海軍航空作戦 |
—
|
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: 太平洋戦争開戦時の日本海軍航空作戦 | Statement: [淵田 美津雄, 関係する歴史的文脈, 太平洋戦争開戦時の日本海軍航空作戦]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関係する歴史的文脈 Context triple: [淵田 美津雄, 関係する歴史的文脈, 太平洋戦争開戦時の日本海軍航空作戦]
-
A.
hasHistoricalContext
chosen
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
B.
historicallyLinked
Indicates that two entities are connected through a shared or related historical event, period, or development.
-
C.
involvedPoliticalContext
Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
-
D.
historicalBackground
Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
-
E.
historicallyConsidered
Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.