Triple
T2826354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Surigao Strait |
E54931
|
entity |
| Predicate | JapaneseDestroyer |
P681
|
FINISHED |
| Object |
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
|
E300670
|
NE FINISHED |
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: Yamagumo | Statement: [Battle of Surigao Strait, JapaneseDestroyer, Yamagumo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamagumo Context triple: [Battle of Surigao Strait, JapaneseDestroyer, Yamagumo]
-
A.
Naikaku
Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
-
B.
Hikifune
Hikifune is a neighborhood in Tokyo’s Sumida ward, known as a traditional residential area with convenient access to central Tokyo.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
E.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yamagumo Triple: [Battle of Surigao Strait, JapaneseDestroyer, Yamagumo]
Generated description
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yamagumo Target entity description: Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
-
A.
Naikaku
Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
-
B.
Hikifune
Hikifune is a neighborhood in Tokyo’s Sumida ward, known as a traditional residential area with convenient access to central Tokyo.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
E.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
- F. None of above. chosen
Provenance (5 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abe08ae5048190a0a3b573d9a5fdbc |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaf9298819093eb24a8ff0b5e02 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf20b6a08190bdf91bed219d2653 |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf7e02648190889576d7a180a193 |
completed | March 10, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:59 p.m.