Triple
T22307119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komatsu |
E551408
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
小松市
小松市は、石川県南部に位置し、製造業や小松空港などで知られる地方都市です。
|
E1529184
|
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: 小松市 | Statement: [Komatsu, hasNameInJapanese, 小松市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 小松市 Context triple: [Komatsu, hasNameInJapanese, 小松市]
-
A.
木津川市
木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
-
B.
宍粟市
宍粟市は、兵庫県西部の中国山地に位置し、豊かな森林資源と自然環境を特徴とする市です。
-
C.
磐田市
磐田市 is a city in Shizuoka Prefecture, Japan, known for its manufacturing industries and as the home of the Júbilo Iwata professional football club.
-
D.
柏原市
柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
-
E.
高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
- 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: 小松市 Triple: [Komatsu, hasNameInJapanese, 小松市]
Generated description
小松市は、石川県南部に位置し、製造業や小松空港などで知られる地方都市です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 小松市 Target entity description: 小松市は、石川県南部に位置し、製造業や小松空港などで知られる地方都市です。
-
A.
木津川市
木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
-
B.
宍粟市
宍粟市は、兵庫県西部の中国山地に位置し、豊かな森林資源と自然環境を特徴とする市です。
-
C.
磐田市
磐田市 is a city in Shizuoka Prefecture, Japan, known for its manufacturing industries and as the home of the Júbilo Iwata professional football club.
-
D.
柏原市
柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
-
E.
高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574bccb08190a6236dd14cf0fc5b |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acca147108190a4a8114cc0900031 |
completed | May 18, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_6a0acd27623881909519e5625ea1bca0 |
completed | May 18, 2026, 8:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0acda36f548190acf16aff2a65a952 |
completed | May 18, 2026, 8:28 a.m. |
Created at: April 16, 2026, 8:41 p.m.