Triple
T9930069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amami Ōshima |
E192624
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Tatsugō
Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
|
E829264
|
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: Tatsugō | Statement: [Amami Ōshima, hasTown, Tatsugō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatsugō Context triple: [Amami Ōshima, hasTown, Tatsugō]
-
A.
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.
-
B.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
C.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
D.
Saigō-no-Tsubone
Saigō-no-Tsubone was a prominent Japanese noblewoman and concubine of Tokugawa Ieyasu who became an influential figure in the early Edo period through her role in the Tokugawa shogunate.
-
E.
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.
- 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: Tatsugō Triple: [Amami Ōshima, hasTown, Tatsugō]
Generated description
Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tatsugō Target entity description: Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
-
A.
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.
-
B.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
C.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
D.
Saigō-no-Tsubone
Saigō-no-Tsubone was a prominent Japanese noblewoman and concubine of Tokugawa Ieyasu who became an influential figure in the early Edo period through her role in the Tokugawa shogunate.
-
E.
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.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b4196881909a004091a4203c45 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e258e888190ae4e2abac80e3399 |
completed | April 5, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69d21229a1188190899df0d8d7f78a7d |
completed | April 5, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d212a46ee48190aa629a189dee531d |
completed | April 5, 2026, 7:43 a.m. |
Created at: March 30, 2026, 8:43 p.m.