Triple
T9975854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatsuno |
E196324
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Shisō
Shisō is a city in Hyōgo Prefecture, Japan, known for its rural landscapes, forests, and historical sites.
|
E832717
|
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: Shisō | Statement: [Tatsuno, hasNeighboringMunicipality, Shisō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shisō Context triple: [Tatsuno, hasNeighboringMunicipality, Shisō]
-
A.
Shinshukyo
Shinshukyo refers to Japan’s “new religions,” a diverse group of modern religious movements that emerged mainly from the late 19th century onward, often blending Shinto, Buddhist, and other spiritual elements.
-
B.
Shin-kankakuha
Shin-kankakuha was a Japanese literary movement that emphasized new sensations and subjective perception, influencing writers such as Osamu Dazai in the early 20th century.
-
C.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
D.
Chuokoron-Shinsha
Chuokoron-Shinsha is a major Japanese publishing company known for its literary magazines, books, and sponsorship of prominent literary awards.
-
E.
Gaimu-shō
Gaimu-shō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
- 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: Shisō Triple: [Tatsuno, hasNeighboringMunicipality, Shisō]
Generated description
Shisō is a city in Hyōgo Prefecture, Japan, known for its rural landscapes, forests, and historical sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shisō Target entity description: Shisō is a city in Hyōgo Prefecture, Japan, known for its rural landscapes, forests, and historical sites.
-
A.
Shinshukyo
Shinshukyo refers to Japan’s “new religions,” a diverse group of modern religious movements that emerged mainly from the late 19th century onward, often blending Shinto, Buddhist, and other spiritual elements.
-
B.
Shin-kankakuha
Shin-kankakuha was a Japanese literary movement that emphasized new sensations and subjective perception, influencing writers such as Osamu Dazai in the early 20th century.
-
C.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
D.
Chuokoron-Shinsha
Chuokoron-Shinsha is a major Japanese publishing company known for its literary magazines, books, and sponsorship of prominent literary awards.
-
E.
Gaimu-shō
Gaimu-shō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23de601f0819096004bf60ffa2d2c |
completed | April 5, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69d241e666a0819087061bf8af397131 |
completed | April 5, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d24283caa481908d794ea2cd4f9db3 |
completed | April 5, 2026, 11:07 a.m. |
Created at: March 30, 2026, 8:48 p.m.