Triple
T6186312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gifu |
E138068
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
岐阜市
岐阜市 is the capital city of Gifu Prefecture in central Japan, known as a regional commercial hub with historical ties to samurai-era Gifu Castle and traditional cormorant fishing on the Nagara River.
|
E572412
|
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: 岐阜市 | Statement: [Gifu, hasJapaneseName, 岐阜市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 岐阜市 Context triple: [Gifu, hasJapaneseName, 岐阜市]
-
A.
柏崎市
柏崎市は、新潟県中越地方に位置し、日本海に面したエネルギー産業や海水浴場で知られる都市です。
-
B.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
-
C.
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。
-
D.
八幡市
八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
-
E.
Kishiwada
Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
- 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: 岐阜市 Triple: [Gifu, hasJapaneseName, 岐阜市]
Generated description
岐阜市 is the capital city of Gifu Prefecture in central Japan, known as a regional commercial hub with historical ties to samurai-era Gifu Castle and traditional cormorant fishing on the Nagara River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 岐阜市 Target entity description: 岐阜市 is the capital city of Gifu Prefecture in central Japan, known as a regional commercial hub with historical ties to samurai-era Gifu Castle and traditional cormorant fishing on the Nagara River.
-
A.
柏崎市
柏崎市は、新潟県中越地方に位置し、日本海に面したエネルギー産業や海水浴場で知られる都市です。
-
B.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
-
C.
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。
-
D.
八幡市
八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
-
E.
Kishiwada
Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0621671988190938dd16242a2e4d5 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141ca916c8190bd1ca46f2b8c9c18 |
completed | March 23, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69c1453b3db48190947260bd4431e8d7 |
completed | March 23, 2026, 1:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c145c93c1c819096feefc952ba1301 |
completed | March 23, 2026, 1:53 p.m. |
Created at: March 22, 2026, 4:19 p.m.