Triple
T13041127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōkai-Kanjō Expressway |
E327192
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Toki
Toki is a city in Gifu Prefecture, Japan, known for its long-standing ceramics industry and production of Mino ware.
|
E1017624
|
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: Toki | Statement: [Tōkai-Kanjō Expressway, connectsCity, Toki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toki Context triple: [Tōkai-Kanjō Expressway, connectsCity, Toki]
-
A.
Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
-
B.
Tokoname
Tokoname is a coastal city in Aichi Prefecture, Japan, historically renowned as one of the country’s Six Ancient Kilns for its distinctive ceramic and pottery production.
-
C.
Taketa
Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
-
D.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
E.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
- 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: Toki Triple: [Tōkai-Kanjō Expressway, connectsCity, Toki]
Generated description
Toki is a city in Gifu Prefecture, Japan, known for its long-standing ceramics industry and production of Mino ware.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toki Target entity description: Toki is a city in Gifu Prefecture, Japan, known for its long-standing ceramics industry and production of Mino ware.
-
A.
Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
-
B.
Tokoname
Tokoname is a coastal city in Aichi Prefecture, Japan, historically renowned as one of the country’s Six Ancient Kilns for its distinctive ceramic and pottery production.
-
C.
Taketa
Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
-
D.
Taongi
Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
-
E.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd5139c8190aaec6487f074f251 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6ce6278e081908864fba1db23ada0 |
completed | May 3, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cf547b188190b24c51e06a3b4d3c |
completed | May 3, 2026, 4:30 a.m. |
Created at: April 9, 2026, 8:56 p.m.