Triple
T24995279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Myeongnyang |
E625550
|
entity |
| Predicate | KoreanShips |
P39920
|
FINISHED |
| Object | about 12 warships |
—
|
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: about 12 warships | Statement: [Battle of Myeongnyang, KoreanShips, about 12 warships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KoreanShips Context triple: [Battle of Myeongnyang, KoreanShips, about 12 warships]
-
A.
namesakeShip
Indicates that one entity is a ship that is named after, or serves as the namesake of, another entity.
-
B.
involvedShipJapan
Indicates that a ship associated with Japan was involved in the referenced event or activity.
-
C.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
-
D.
dispositionOfShips
Indicates the arrangement, allocation, or positioning of ships relative to a plan, location, or situation.
-
E.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a4a2c048190bfb5afe6df7ca3f0 |
completed | May 1, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:04 a.m.