Triple
T23391950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokote, Akita |
E594041
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Misato, Akita
Misato, Akita is a town in Akita Prefecture, Japan, known for its rural landscapes, rice farming, and traditional festivals.
|
E1584529
|
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: Misato, Akita | Statement: [Yokote, Akita, borderedBy, Misato, Akita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misato, Akita Context triple: [Yokote, Akita, borderedBy, Misato, Akita]
-
A.
Yoshida, Niigata
Yoshida, Niigata is a town in Niigata Prefecture, Japan, known as a local administrative and residential center on the coast of the Sea of Japan.
-
B.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
-
C.
Shibukawa
Shibukawa is a city in Gunma Prefecture, Japan, known as a regional transport hub and gateway to nearby hot spring resorts such as Ikaho Onsen.
-
D.
Misawa
Misawa is a Japanese city in Aomori Prefecture best known for hosting Misawa Air Base, a key installation of the United States military in Japan.
-
E.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
- 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: Misato, Akita Triple: [Yokote, Akita, borderedBy, Misato, Akita]
Generated description
Misato, Akita is a town in Akita Prefecture, Japan, known for its rural landscapes, rice farming, and traditional festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Misato, Akita Target entity description: Misato, Akita is a town in Akita Prefecture, Japan, known for its rural landscapes, rice farming, and traditional festivals.
-
A.
Yoshida, Niigata
Yoshida, Niigata is a town in Niigata Prefecture, Japan, known as a local administrative and residential center on the coast of the Sea of Japan.
-
B.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
-
C.
Shibukawa
Shibukawa is a city in Gunma Prefecture, Japan, known as a regional transport hub and gateway to nearby hot spring resorts such as Ikaho Onsen.
-
D.
Misawa
Misawa is a Japanese city in Aomori Prefecture best known for hosting Misawa Air Base, a key installation of the United States military in Japan.
-
E.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dec070c81908e86b1c7fc50fc83 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c62311ff48190b740bba58180f100 |
completed | May 19, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c62d82f908190acbe1fec58288df9 |
completed | May 19, 2026, 1:17 p.m. |
Created at: April 17, 2026, 5:36 p.m.