Triple
T15027231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushiro Subprefecture |
E378248
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Teshikaga
Teshikaga is a town in eastern Hokkaido, Japan, known for its volcanic landscapes, including Lake Mashu and Lake Kussharo within Akan-Mashu National Park.
|
E1380517
|
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: Teshikaga | Statement: [Kushiro Subprefecture, contains, Teshikaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teshikaga Context triple: [Kushiro Subprefecture, contains, Teshikaga]
-
A.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
-
B.
Tadaka
Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
-
C.
Kusatsu
Kusatsu is a Japanese city in Shiga Prefecture known as a regional commercial hub and transportation crossroads near Lake Biwa.
-
D.
Sasayama
Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
-
E.
Tozawa
Tozawa is a town in Yamagata Prefecture, Japan, known for its scenic location along the Mogami River and its rural, mountainous landscapes.
- 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: Teshikaga Triple: [Kushiro Subprefecture, contains, Teshikaga]
Generated description
Teshikaga is a town in eastern Hokkaido, Japan, known for its volcanic landscapes, including Lake Mashu and Lake Kussharo within Akan-Mashu National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teshikaga Target entity description: Teshikaga is a town in eastern Hokkaido, Japan, known for its volcanic landscapes, including Lake Mashu and Lake Kussharo within Akan-Mashu National Park.
-
A.
Shiraoi
Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
-
B.
Tadaka
Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
-
C.
Kusatsu
Kusatsu is a Japanese city in Shiga Prefecture known as a regional commercial hub and transportation crossroads near Lake Biwa.
-
D.
Sasayama
Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
-
E.
Tozawa
Tozawa is a town in Yamagata Prefecture, Japan, known for its scenic location along the Mogami River and its rural, mountainous landscapes.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074701a1108190a284c91e003b7222 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a074841d9488190a1281911560934c4 |
completed | May 15, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07491088a48190914abc69055cf807 |
completed | May 15, 2026, 4:25 p.m. |
Created at: April 10, 2026, 2:58 a.m.