Triple
T789603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Japanese Naval Academy |
E16881
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Etajima
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
|
E116226
|
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: Etajima | Statement: [Imperial Japanese Naval Academy, locatedIn, Etajima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etajima Context triple: [Imperial Japanese Naval Academy, locatedIn, Etajima]
-
A.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
B.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
C.
Uraga
Uraga is a historic Japanese port town at the entrance of Tokyo Bay that served as a key naval and shipbuilding center, especially during the late Edo period.
-
D.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
E.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
- 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: Etajima Triple: [Imperial Japanese Naval Academy, locatedIn, Etajima]
Generated description
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etajima Target entity description: Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
-
A.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
B.
Shimamoto
Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
-
C.
Uraga
Uraga is a historic Japanese port town at the entrance of Tokyo Bay that served as a key naval and shipbuilding center, especially during the late Edo period.
-
D.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
E.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7841b0c8190859ecd247e32c6ec |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ccd40188190b5c4b9c3dc1f7554 |
completed | March 7, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69ac1de2abf08190bae3ccdc5b7f6f9e |
completed | March 7, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1e518f648190aedea67936218178 |
completed | March 7, 2026, 12:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.