Triple
T5573150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese destroyer Akatsuki |
E146250
|
entity |
| Predicate | lostDuring |
P64517
|
FINISHED |
| Object | night surface action off Guadalcanal |
—
|
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: night surface action off Guadalcanal | Statement: [Japanese destroyer Akatsuki, lostDuring, night surface action off Guadalcanal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostDuring Context triple: [Japanese destroyer Akatsuki, lostDuring, night surface action off Guadalcanal]
-
A.
lost
Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
-
B.
lostWith
Indicates that one entity experienced a loss or defeat in conjunction with, or as part of the same side/team as, another entity.
-
C.
lostIn
Indicates that an entity has become unable to find its way or is no longer in control or possession within a particular place, situation, or context.
-
D.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
-
E.
lostOrDestroyed
Indicates that something has ceased to exist in its original, usable form, either by being misplaced beyond recovery or physically destroyed.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02052dd0481909aba6863831357eb |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:37 p.m.