Triple
T2213848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izumiotsu |
E50976
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Tadaoka
Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
|
E249125
|
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: Tadaoka | Statement: [Izumiotsu, adjacentTo, Tadaoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadaoka Context triple: [Izumiotsu, adjacentTo, Tadaoka]
-
A.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
B.
Suzuya
Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Fujiyoshida
Fujiyoshida is a Japanese city in Yamanashi Prefecture, best known as a gateway to Mount Fuji and a popular base for climbers and tourists visiting the iconic volcano.
-
E.
Kasumigaseki
Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
- 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: Tadaoka Triple: [Izumiotsu, adjacentTo, Tadaoka]
Generated description
Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tadaoka Target entity description: Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
-
A.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
B.
Suzuya
Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Fujiyoshida
Fujiyoshida is a Japanese city in Yamanashi Prefecture, best known as a gateway to Mount Fuji and a popular base for climbers and tourists visiting the iconic volcano.
-
E.
Kasumigaseki
Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71b811748190b985972a74c0355d |
completed | March 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69ae72a2b92c8190a7d4ff441f1cb1ce |
completed | March 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae732a7cf08190b119ca7809350269 |
completed | March 9, 2026, 7:13 a.m. |
Created at: March 4, 2026, 7:46 p.m.