Triple
T13041129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōkai-Kanjō Expressway |
E327192
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Kani
Kani is a city in Gifu Prefecture, Japan, known as a regional industrial and residential hub within the Chūbu area.
|
E1017625
|
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: Kani | Statement: [Tōkai-Kanjō Expressway, connectsCity, Kani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kani Context triple: [Tōkai-Kanjō Expressway, connectsCity, Kani]
-
A.
K’ana
K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
-
B.
Kani Masi
Kani Masi is a village located in the Shekhan District of the Kurdistan Region in northern Iraq.
-
C.
Kankanay
Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
-
D.
Kanembu
The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
-
E.
Kanyok
Kanyok is a Bantu language spoken primarily by the Kanyok people in the Democratic Republic of the Congo.
- 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: Kani Triple: [Tōkai-Kanjō Expressway, connectsCity, Kani]
Generated description
Kani is a city in Gifu Prefecture, Japan, known as a regional industrial and residential hub within the Chūbu area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kani Target entity description: Kani is a city in Gifu Prefecture, Japan, known as a regional industrial and residential hub within the Chūbu area.
-
A.
K’ana
K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
-
B.
Kani Masi
Kani Masi is a village located in the Shekhan District of the Kurdistan Region in northern Iraq.
-
C.
Kankanay
Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
-
D.
Kanembu
The Kanembu are an ethnic group of the Lake Chad region, historically linked to the ruling elite and culture of the medieval Kanem-Bornu Empire.
-
E.
Kanyok
Kanyok is a Bantu language spoken primarily by the Kanyok people in the Democratic Republic of the Congo.
- 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.