Triple

T6061060
Position Surface form Disambiguated ID Type / Status
Subject Ryukyuan pottery E135032 entity
Predicate hasPart P35 FINISHED
Object Tsuboya ware
Tsuboya ware is a traditional Okinawan ceramic style known for its robust earthenware vessels, distinctive glazes, and historical production in Naha’s Tsuboya district.
E566374 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: Tsuboya ware | Statement: [Ryukyuan pottery, hasPart, Tsuboya ware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsuboya ware
Context triple: [Ryukyuan pottery, hasPart, Tsuboya ware]
  • A. Tsubakuro
    Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
  • B. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • C. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Tabaruzaka
    Tabaruzaka is a historic area near Kumamoto in Kyushu, Japan, best known as the site of a major and bloody engagement during the 1877 Satsuma Rebellion.
  • 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: Tsuboya ware
Triple: [Ryukyuan pottery, hasPart, Tsuboya ware]
Generated description
Tsuboya ware is a traditional Okinawan ceramic style known for its robust earthenware vessels, distinctive glazes, and historical production in Naha’s Tsuboya district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsuboya ware
Target entity description: Tsuboya ware is a traditional Okinawan ceramic style known for its robust earthenware vessels, distinctive glazes, and historical production in Naha’s Tsuboya district.
  • A. Tsubakuro
    Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
  • B. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • C. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Tabaruzaka
    Tabaruzaka is a historic area near Kumamoto in Kyushu, Japan, best known as the site of a major and bloody engagement during the 1877 Satsuma Rebellion.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d197dd08190bcc6904c7c2e41aa completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:10 p.m.