Triple
T12241331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-ku, Kyoto |
E291736
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
北区
北区 is one of Kyoto City's administrative wards, known for its mix of residential areas, historic temples, and scenic natural landscapes in northern Kyoto.
|
E972264
|
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: 北区 | Statement: [Kita-ku, Kyoto, hasJapaneseName, 北区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 北区 Context triple: [Kita-ku, Kyoto, hasJapaneseName, 北区]
-
A.
北区
北区是韩国蔚山市的一个行政区，以其工业设施与城市居住功能并存而闻名。
-
B.
北区
北区 is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and major railway hubs.
-
C.
东区
东区是韩国蔚山广域市的一个行政区，以工业设施与港口经济为主。
-
D.
中央区
中央区 is one of Tokyo’s 23 special wards, known as a major commercial and financial center that includes districts such as Ginza and Nihonbashi.
-
E.
東區
東區 is a central district of Busan, South Korea, known for its coastal location, port facilities, and mix of residential and commercial areas.
- 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: 北区 Triple: [Kita-ku, Kyoto, hasJapaneseName, 北区]
Generated description
北区 is one of Kyoto City's administrative wards, known for its mix of residential areas, historic temples, and scenic natural landscapes in northern Kyoto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 北区 Target entity description: 北区 is one of Kyoto City's administrative wards, known for its mix of residential areas, historic temples, and scenic natural landscapes in northern Kyoto.
-
A.
北区
北区是韩国蔚山市的一个行政区，以其工业设施与城市居住功能并存而闻名。
-
B.
北区
北区 is one of Tokyo’s 23 special wards, located in the northern part of the city and known for its mix of residential neighborhoods, parks, and major railway hubs.
-
C.
东区
东区是韩国蔚山广域市的一个行政区，以工业设施与港口经济为主。
-
D.
中央区
中央区 is one of Tokyo’s 23 special wards, known as a major commercial and financial center that includes districts such as Ginza and Nihonbashi.
-
E.
東區
東區 is a central district of Busan, South Korea, known for its coastal location, port facilities, and mix of residential and commercial areas.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb59ce4819099999b8755fb8b98 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab5a404819089f9ea868deda10c |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c6211448190af411f1b6f42c4b6 |
completed | May 2, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d1429f08190b7f3f053044f5a9e |
completed | May 2, 2026, 2:41 p.m. |
Created at: April 8, 2026, 9:51 p.m.