Triple
T12659188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noto Province |
E302370
|
entity |
| Predicate | hasPortTown |
P2745
|
FINISHED |
| Object |
Wajima
Wajima is a coastal city in Ishikawa Prefecture, Japan, renowned for its traditional Wajima-nuri lacquerware and historic morning market.
|
E1123897
|
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: Wajima | Statement: [Noto Province, hasPortTown, Wajima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wajima Context triple: [Noto Province, hasPortTown, Wajima]
-
A.
Kawanishi
Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
-
B.
Kawanishi
Kawanishi was a Japanese aircraft manufacturer best known for producing military seaplanes and bombers for the Imperial Japanese Navy during World War II.
-
C.
Uwajima
Uwajima is a coastal city in southwestern Shikoku, Japan, known for its historic castle, fishing industry, and traditional bullfighting events.
-
D.
Etajima
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
-
E.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
- 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: Wajima Triple: [Noto Province, hasPortTown, Wajima]
Generated description
Wajima is a coastal city in Ishikawa Prefecture, Japan, renowned for its traditional Wajima-nuri lacquerware and historic morning market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wajima Target entity description: Wajima is a coastal city in Ishikawa Prefecture, Japan, renowned for its traditional Wajima-nuri lacquerware and historic morning market.
-
A.
Kawanishi
Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
-
B.
Kawanishi
Kawanishi was a Japanese aircraft manufacturer best known for producing military seaplanes and bombers for the Imperial Japanese Navy during World War II.
-
C.
Uwajima
Uwajima is a coastal city in southwestern Shikoku, Japan, known for its historic castle, fishing industry, and traditional bullfighting events.
-
D.
Etajima
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
-
E.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e2991c81908f474fe07a6ba10a |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe674ad60c8190a3be185f71983b2f |
completed | May 8, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe67a5c7ec8190b30f190e9416a41c |
completed | May 8, 2026, 10:45 p.m. |
Created at: April 9, 2026, 5:19 p.m.