Triple

T1595908
Position Surface form Disambiguated ID Type / Status
Subject Shiga E34281 entity
Predicate hasCity P316 FINISHED
Object Rittō
Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
 E300012 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: Rittō | Statement: [Shiga, hasCity, Rittō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rittō
Context triple: [Shiga, hasCity, Rittō]
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • 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: Rittō
Triple: [Shiga, hasCity, Rittō]
Generated description
Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rittō
Target entity description: Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092ccb388190b2f3ed86b3853651 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc61b715c81908bb4849b03617d85 completed March 10, 2026, 7:19 a.m.
NEDg Description generation batch_69afc92a15b08190a2bb49ecb8d297aa completed March 10, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_69afc9a50f148190be1af8808fc55545 completed March 10, 2026, 7:35 a.m.
Created at: March 4, 2026, 7:27 p.m.