Triple

T11511622
Position Surface form Disambiguated ID Type / Status
Subject Kujula Kadphises E272925 entity
Predicate usedTitle P3254 FINISHED
Object Shaonanoshao
Shaonanoshao was a royal title used by early Kushan rulers, notably Kujula Kadphises, signifying their authority and status in Central and South Asia.
 E930519 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: Shaonanoshao | Statement: [Kujula Kadphises, usedTitle, Shaonanoshao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shaonanoshao
Context triple: [Kujula Kadphises, usedTitle, Shaonanoshao]
  • A. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • B. Houhai
    Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
  • C. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • 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: Shaonanoshao
Triple: [Kujula Kadphises, usedTitle, Shaonanoshao]
Generated description
Shaonanoshao was a royal title used by early Kushan rulers, notably Kujula Kadphises, signifying their authority and status in Central and South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shaonanoshao
Target entity description: Shaonanoshao was a royal title used by early Kushan rulers, notably Kujula Kadphises, signifying their authority and status in Central and South Asia.
  • A. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • B. Houhai
    Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
  • C. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db7af688190b68668eb39d382a8 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
NEDg Description generation batch_69e62cf44018819094818f11ac653763 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e674c3a98c8190b32dc6879cb3a5f9 completed April 20, 2026, 6:47 p.m.
Created at: April 8, 2026, 9:36 p.m.