Triple
T11969732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawanishi |
E284884
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Toyono
Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
|
E956392
|
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: Toyono | Statement: [Kawanishi, neighboringMunicipality, Toyono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyono Context triple: [Kawanishi, neighboringMunicipality, Toyono]
-
A.
Takeno
Takeno was a former town in Hyōgo Prefecture, Japan, that became part of the expanded city of Toyooka following a municipal merger.
-
B.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
C.
Toyooka
Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
-
D.
Yotsugi
Yotsugi is a residential neighborhood in Tokyo, Japan, located within Katsushika Ward and known for its local shopping streets and traditional shitamachi atmosphere.
-
E.
Towa
Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
- 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: Toyono Triple: [Kawanishi, neighboringMunicipality, Toyono]
Generated description
Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyono Target entity description: Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
-
A.
Takeno
Takeno was a former town in Hyōgo Prefecture, Japan, that became part of the expanded city of Toyooka following a municipal merger.
-
B.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
C.
Toyooka
Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
-
D.
Yotsugi
Yotsugi is a residential neighborhood in Tokyo, Japan, located within Katsushika Ward and known for its local shopping streets and traditional shitamachi atmosphere.
-
E.
Towa
Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459691ff0819099282172933d2d81 |
completed | May 1, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69f4645ef63881909b46937f73d637a3 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465be4db08190882898a17d077019 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:46 p.m.