Triple

T32546038
Position Surface form Disambiguated ID Type / Status
Subject Shudan-yamamise parade E831849 entity
Predicate hasAlternativeName P39 FINISHED
Object 集団山見せ
集団山見せは、日本の福岡市で行われる博多祇園山笠の行事の一つで、豪華な山笠を市内中心部で披露する華やかなパレードである。
 E2009480 NE FINISHED

How this triple was built (2 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: 集団山見せ | Statement: [Shudan-yamamise parade, hasAlternativeName, 集団山見せ]
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: 集団山見せ
Triple: [Shudan-yamamise parade, hasAlternativeName, 集団山見せ]
Generated description
集団山見せは、日本の福岡市で行われる博多祇園山笠の行事の一つで、豪華な山笠を市内中心部で披露する華やかなパレードである。

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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c5bfe55881909a20ef79180d19c4 completed May 3, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347080d3d88190a608c65ca95cc040 completed June 18, 2026, 10:26 p.m.
NEDg Description generation batch_6a34710734988190a0a6880097a6a639 completed June 18, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a3471d84d708190bd56542c6f09ba30 completed June 18, 2026, 10:31 p.m.
Created at: May 1, 2026, 1:02 a.m.