Triple
T7870907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsushika |
E182733
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Misato
Misato is a city located in Saitama Prefecture, Japan, known as part of the Greater Tokyo metropolitan area.
|
E705654
|
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: Misato | Statement: [Katsushika, adjacentTo, Misato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misato Context triple: [Katsushika, adjacentTo, Misato]
-
A.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
D.
Miki Motoko
Miki Motoko was the wife of former Japanese Prime Minister Takeo Miki and served as a political spouse active in social and public life.
-
E.
Masako
Masako is the Empress of Japan, a former diplomat and Harvard-educated member of the Imperial House known for her international background and public role.
- 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: Misato Triple: [Katsushika, adjacentTo, Misato]
Generated description
Misato is a city located in Saitama Prefecture, Japan, known as part of the Greater Tokyo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Misato Target entity description: Misato is a city located in Saitama Prefecture, Japan, known as part of the Greater Tokyo metropolitan area.
-
A.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
D.
Miki Motoko
Miki Motoko was the wife of former Japanese Prime Minister Takeo Miki and served as a political spouse active in social and public life.
-
E.
Masako
Masako is the Empress of Japan, a former diplomat and Harvard-educated member of the Imperial House known for her international background and public role.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdf844f24819091cb8757d29a4a3f |
completed | March 31, 2026, 2:51 p.m. |
| NEDg | Description generation | batch_69cc46bca04481908852425c214a4e34 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc49129e188190aaebd6a1188788d9 |
completed | March 31, 2026, 10:22 p.m. |
Created at: March 30, 2026, 4:55 p.m.