Triple
T38555373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Zuihō |
E925227
|
entity |
| Predicate | functionAtLeyteGulf |
P79378
|
FINISHED |
| Object | decoy carrier |
—
|
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: decoy carrier | Statement: [Japanese aircraft carrier Zuihō, functionAtLeyteGulf, decoy carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionAtLeyteGulf Context triple: [Japanese aircraft carrier Zuihō, functionAtLeyteGulf, decoy carrier]
-
A.
roleAtLeyteGulf
chosen
Indicates the specific role or function an entity performed in the context of the Battle of Leyte Gulf.
-
B.
commandingOfficerAtManilaBay
Indicates that one entity served as the commanding officer at the Battle of Manila Bay.
-
C.
resultAtSibuyanSea
Indicates that an event, action, or process has its outcome or occurrence located at the Sibuyan Sea.
-
D.
resultOfCommandAtManilaBay
Indicates that something occurs as a consequence of the command issued at the Battle of Manila Bay.
-
E.
opponentAtBattleOffSamar
Indicates that one entity served as an opposing force to another during the Battle off Samar.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.