Triple
T7625111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantan |
E172607
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Sonobe
Sonobe was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
|
E678022
|
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: Sonobe | Statement: [Nantan, formedByMergerOf, Sonobe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonobe Context triple: [Nantan, formedByMergerOf, Sonobe]
-
A.
Miura
Miura is a coastal city on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its fishing industry, beaches, and scenic ocean views.
-
B.
Fushiki
Fushiki is a historic port town in present-day Toyama Prefecture, Japan, that developed as a key maritime hub for the surrounding region.
-
C.
Katsuura
Katsuura is a coastal city in Chiba Prefecture, Japan, known for its fishing port, seafood markets, and scenic Pacific shoreline.
-
D.
Penrose triangle
The Penrose triangle is an impossible optical illusion figure that appears to be a solid three-dimensional triangle but cannot exist in Euclidean space.
-
E.
Nanko-kita
Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
- 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: Sonobe Triple: [Nantan, formedByMergerOf, Sonobe]
Generated description
Sonobe was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonobe Target entity description: Sonobe was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
-
A.
Miura
Miura is a coastal city on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its fishing industry, beaches, and scenic ocean views.
-
B.
Fushiki
Fushiki is a historic port town in present-day Toyama Prefecture, Japan, that developed as a key maritime hub for the surrounding region.
-
C.
Katsuura
Katsuura is a coastal city in Chiba Prefecture, Japan, known for its fishing port, seafood markets, and scenic Pacific shoreline.
-
D.
Penrose triangle
The Penrose triangle is an impossible optical illusion figure that appears to be a solid three-dimensional triangle but cannot exist in Euclidean space.
-
E.
Nanko-kita
Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa6648608190a9203b98b76209aa |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870a00f8c8190935ee9b3054ada90 |
completed | March 29, 2026, 12:21 a.m. |
| NEDg | Description generation | batch_69c87244ba00819088e4aadbca1b7da8 |
completed | March 29, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873cc0bb48190b0b44feb7544f067 |
completed | March 29, 2026, 12:35 a.m. |
Created at: March 27, 2026, 3:56 p.m.