Triple

T2441036
Position Surface form Disambiguated ID Type / Status
Subject Nara period E53274 entity
Predicate legalCode P17080 FINISHED
Object Yōrō Code
Yōrō Code was a major 8th-century Japanese ritsuryō legal and administrative code that systematized government structure and social regulations during the Nara period.
 E266793 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: Yōrō Code | Statement: [Nara period, legalCode, Yōrō Code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yōrō Code
Context triple: [Nara period, legalCode, Yōrō Code]
  • A. Zakumi
    Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
  • B. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • C. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • D. Prampram
    Prampram is a coastal town in southern Ghana known for its beaches, fishing community, and growing role as a residential and recreational area near Accra.
  • E. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • 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: Yōrō Code
Triple: [Nara period, legalCode, Yōrō Code]
Generated description
Yōrō Code was a major 8th-century Japanese ritsuryō legal and administrative code that systematized government structure and social regulations during the Nara period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yōrō Code
Target entity description: Yōrō Code was a major 8th-century Japanese ritsuryō legal and administrative code that systematized government structure and social regulations during the Nara period.
  • A. Zakumi
    Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
  • B. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • C. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • D. Prampram
    Prampram is a coastal town in southern Ghana known for its beaches, fishing community, and growing role as a residential and recreational area near Accra.
  • E. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f94e388190b6e49d4f7bbb6697 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b3f7188190911f2db0ef2200cc completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef3752d6c8190b32d99418c0bfdc8 completed March 9, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69aef433a83c8190b20a3a278204badd completed March 9, 2026, 4:24 p.m.
Created at: March 6, 2026, 9:43 p.m.