Triple
T1595913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga |
E34281
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Takashima
Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
|
E302379
|
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: Takashima | Statement: [Shiga, hasCity, Takashima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takashima Context triple: [Shiga, hasCity, Takashima]
-
A.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
B.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
C.
Kubashima
Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Iōjima
Iōjima, more widely known as Iwo Jima, is a small volcanic island in the Pacific Ocean famous as the site of a major World War II battle between Japan and the United States.
- 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: Takashima Triple: [Shiga, hasCity, Takashima]
Generated description
Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takashima Target entity description: Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
-
A.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
B.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
C.
Kubashima
Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Iōjima
Iōjima, more widely known as Iwo Jima, is a small volcanic island in the Pacific Ocean famous as the site of a major World War II battle between Japan and the United States.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092ccb388190b2f3ed86b3853651 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce6ea6f88190b455439f73a02728 |
completed | March 10, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69afd27a5cc88190989f93505c1e4cd3 |
completed | March 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd2d6be848190a5444fc8341cf4b1 |
completed | March 10, 2026, 8:14 a.m. |
Created at: March 4, 2026, 7:27 p.m.