Triple
T23149916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamba ware |
E578294
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Tamba-yaki
Tamba-yaki is a traditional Japanese stoneware pottery style from the Tamba region, known for its rustic aesthetics, natural ash glazes, and status as one of Japan’s oldest ceramic traditions.
|
E1573588
|
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: Tamba-yaki | Statement: [Tamba ware, alsoKnownAs, Tamba-yaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamba-yaki Context triple: [Tamba ware, alsoKnownAs, Tamba-yaki]
-
A.
Metochi
Metochi is a small settlement within the municipality of Kymi-Aliveri on the island of Euboea in Greece.
-
B.
Okonomiyaki
Okonomiyaki is a savory Japanese pancake made from a batter of flour, cabbage, and various mix-ins, typically grilled and topped with a rich sauce, mayonnaise, and bonito flakes.
-
C.
Kanjizai
Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
-
D.
Nagoya-meshi
Nagoya-meshi is a distinctive regional cuisine of Nagoya, Japan, known for hearty, flavor-rich dishes such as miso katsu, hitsumabushi, and tebasaki.
-
E.
Jiigatake
Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
- 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: Tamba-yaki Triple: [Tamba ware, alsoKnownAs, Tamba-yaki]
Generated description
Tamba-yaki is a traditional Japanese stoneware pottery style from the Tamba region, known for its rustic aesthetics, natural ash glazes, and status as one of Japan’s oldest ceramic traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamba-yaki Target entity description: Tamba-yaki is a traditional Japanese stoneware pottery style from the Tamba region, known for its rustic aesthetics, natural ash glazes, and status as one of Japan’s oldest ceramic traditions.
-
A.
Metochi
Metochi is a small settlement within the municipality of Kymi-Aliveri on the island of Euboea in Greece.
-
B.
Okonomiyaki
Okonomiyaki is a savory Japanese pancake made from a batter of flour, cabbage, and various mix-ins, typically grilled and topped with a rich sauce, mayonnaise, and bonito flakes.
-
C.
Kanjizai
Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
-
D.
Nagoya-meshi
Nagoya-meshi is a distinctive regional cuisine of Nagoya, Japan, known for hearty, flavor-rich dishes such as miso katsu, hitsumabushi, and tebasaki.
-
E.
Jiigatake
Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed0b76c8190ac61b949d88e9970 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3098168481908aa4e4a985314db1 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c3442ccb08190aaea6fe426a3dd10 |
completed | May 19, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c34a421308190bbaf614cdfa5e146 |
completed | May 19, 2026, 10 a.m. |
Created at: April 17, 2026, 4:01 p.m.