Triple
T3226816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淵田 美津雄 |
E67642
|
entity |
| Predicate | 「トラ・トラ・トラ」の意味 |
P46329
|
FINISHED |
| Object | 奇襲成功を示す暗号電文 |
—
|
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: 奇襲成功を示す暗号電文 | Statement: [淵田 美津雄, 「トラ・トラ・トラ」の意味, 奇襲成功を示す暗号電文]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 「トラ・トラ・トラ」の意味 Context triple: [淵田 美津雄, 「トラ・トラ・トラ」の意味, 奇襲成功を示す暗号電文]
-
A.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
-
B.
usesTrackage
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
C.
tracks
Indicates that one entity monitors, follows, or keeps a record of another entity’s state, behavior, or progress over time.
-
D.
refrainTranslation
Indicates that one expression is a translation of the repeated or recurring part (refrain) of another expression, typically in a different language.
-
E.
trackName
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
- F. None of above. chosen
Provenance (4 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_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada149df58819091173b14b49582b1 |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:08 p.m.