Triple
T16903394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Cape St. George |
E424495
|
entity |
| Predicate | JapaneseShipParticipated |
P681
|
FINISHED |
| Object | Onami |
—
|
NE NERFINISHED |
How this triple was built (4 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: Onami | Statement: [Battle of Cape St. George, JapaneseShipParticipated, Onami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onami Context triple: [Battle of Cape St. George, JapaneseShipParticipated, Onami]
-
A.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
B.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
C.
Nasuno
Nasuno is a Japanese Shinkansen train service that operates on the Tōhoku Shinkansen line, primarily providing all-stations or local high-speed service in the northern Kanto and southern Tōhoku regions.
-
D.
Anami
Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
-
E.
Ninomiya
Ninomiya is a coastal town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger Shōnan-area communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onami Target entity description: Onami was an Imperial Japanese Navy destroyer that served in World War II, notably participating in late-war Pacific naval engagements.
-
A.
Emori
Emori is a Japanese given name that can be used for individuals of any gender.
-
B.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
C.
Nasuno
Nasuno is a Japanese Shinkansen train service that operates on the Tōhoku Shinkansen line, primarily providing all-stations or local high-speed service in the northern Kanto and southern Tōhoku regions.
-
D.
Anami
Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
-
E.
Ninomiya
Ninomiya is a coastal town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger Shōnan-area communities.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseShipParticipated Context triple: [Battle of Cape St. George, JapaneseShipParticipated, Onami]
-
A.
involvedShipJapan
chosen
Indicates that a ship associated with Japan was involved in the referenced event or activity.
-
B.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
-
C.
japanParticipation
Indicates Japan’s involvement or role in a particular event, activity, or organization.
-
D.
GermanShipFate
Indicates the ultimate outcome or disposition of a German ship, such as whether it was sunk, captured, scuttled, or otherwise ended its service.
-
E.
statusOfOtherShips
Indicates the relationship that reports or reflects the current conditions or states (such as position, readiness, or operational status) of other ships.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8de3070819085bfe9696bc887ea |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.