Triple
T10617590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese cruiser Yoshino |
E276161
|
entity |
| Predicate | roleAtBattleOfYaluRiver |
P94997
|
FINISHED |
| Object | served as a fast wing ship in the Japanese line |
—
|
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: served as a fast wing ship in the Japanese line | Statement: [Japanese cruiser Yoshino, roleAtBattleOfYaluRiver, served as a fast wing ship in the Japanese line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfYaluRiver Context triple: [Japanese cruiser Yoshino, roleAtBattleOfYaluRiver, served as a fast wing ship in the Japanese line]
-
A.
roleDuringSecondSinoJapaneseWar
Indicates the specific role, position, or function an entity held or performed during the Second Sino-Japanese War.
-
B.
roleInKoreanWar
Indicates the specific function, position, or involvement an entity had during the Korean War.
-
C.
roleInManchuria
Indicates that an entity holds or held a specific role, position, or function in the context of Manchuria.
-
D.
roleAtBattleOfIquique
Indicates the specific role or function an entity held during the Battle of Iquique.
-
E.
sideInBattleOfYiling
Indicates that an entity participated as a side or faction in the Battle of Yiling.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:33 p.m.