Triple
T127877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaga |
E2588
|
entity |
| Predicate | dateOfPearlHarborAttackParticipation |
P6551
|
FINISHED |
| Object | 1941-12-07 |
—
|
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: 1941-12-07 | Statement: [Kaga, dateOfPearlHarborAttackParticipation, 1941-12-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfPearlHarborAttackParticipation Context triple: [Kaga, dateOfPearlHarborAttackParticipation, 1941-12-07]
-
A.
invasionDate
Indicates the date on which an invasion event occurred or began.
-
B.
usDeclarationOfWarDate
Indicates the date on which the United States formally declared war in relation to the associated entity or conflict.
-
C.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
D.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25763ccf8819094e8dffb2ff98480 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564c11208190ad25495609d94d87 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2575d8a648190ad8e10d4b04e5e07 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.