Triple
T8791312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyosato, Shiga |
E209171
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
|
E756511
|
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: 豊郷町 | Statement: [Toyosato, Shiga, hasJapaneseName, 豊郷町]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 豊郷町 Context triple: [Toyosato, Shiga, hasJapaneseName, 豊郷町]
-
A.
Onagawa Town
Onagawa Town is a coastal municipality in northeastern Japan known for its fishing industry and for being heavily affected and subsequently rebuilt after the 2011 Tōhoku earthquake and tsunami.
-
B.
Kesennuma City
Kesennuma City is a coastal city in northeastern Japan known for its fishing industry and for being heavily affected by the 2011 Tōhoku earthquake and tsunami.
-
C.
Tokushima City
Tokushima City is the capital of Tokushima Prefecture on Japan’s Shikoku Island, known as a regional cultural and economic center and famous for its Awa Odori dance festival.
-
D.
Oharai-machi
Oharai-machi is a traditional shopping and pilgrimage district near Ise Grand Shrine, known for its preserved Edo-period streets, local specialties, and historic atmosphere.
-
E.
Takehara-shi
Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
- 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: 豊郷町 Triple: [Toyosato, Shiga, hasJapaneseName, 豊郷町]
Generated description
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 豊郷町 Target entity description: 豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
-
A.
Onagawa Town
Onagawa Town is a coastal municipality in northeastern Japan known for its fishing industry and for being heavily affected and subsequently rebuilt after the 2011 Tōhoku earthquake and tsunami.
-
B.
Kesennuma City
Kesennuma City is a coastal city in northeastern Japan known for its fishing industry and for being heavily affected by the 2011 Tōhoku earthquake and tsunami.
-
C.
Tokushima City
Tokushima City is the capital of Tokushima Prefecture on Japan’s Shikoku Island, known as a regional cultural and economic center and famous for its Awa Odori dance festival.
-
D.
Oharai-machi
Oharai-machi is a traditional shopping and pilgrimage district near Ise Grand Shrine, known for its preserved Edo-period streets, local specialties, and historic atmosphere.
-
E.
Takehara-shi
Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8e6e4881909155c40c52bc082c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5220af84819095ddefd84fd9f369 |
completed | April 3, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_69cf5379dc748190a9b6522d7a68eed4 |
completed | April 3, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54129d888190b61d67f99ad36cb8 |
completed | April 3, 2026, 5:45 a.m. |
Created at: March 30, 2026, 6:43 p.m.