Triple
T34823537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haguro |
E1003852
|
entity |
| Predicate | sinkingEngagement |
P181523
|
FINISHED |
| Object | Battle of the Malacca Strait |
—
|
NE NERFINISHED |
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: Battle of the Malacca Strait | Statement: [Haguro, sinkingEngagement, Battle of the Malacca Strait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sinkingEngagement Context triple: [Haguro, sinkingEngagement, Battle of the Malacca Strait]
-
A.
sinkingConflict
Indicates a situation where one entity’s decline, failure, or deterioration creates or intensifies a conflict with another entity.
-
B.
sunkAs
Indicates that one entity caused another entity to sink or become submerged, typically resulting in its loss or destruction.
-
C.
sunkAsTarget
Indicates that an entity was sunk specifically in the role of being a target (e.g., during testing, training, or as a deliberate target in an operation).
-
D.
sinkingConsequence
Indicates the outcome or effect that results from something sinking.
-
E.
sunkOff
Indicates that one entity was sunk at a location situated off (near but not directly at) another referenced place or feature.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77adf71d88190812e930bcf1e2ce5 |
completed | May 3, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77a39135081908ae22d2a23b44e74 |
completed | May 3, 2026, 4:39 p.m. |
Created at: May 3, 2026, 4 p.m.