Triple

T15803400
Position Surface form Disambiguated ID Type / Status
Subject 趙 E383150 entity
Predicate YaleRomanization P23170 FINISHED
Object Jiu
Jiu is the Yale romanization of the Cantonese pronunciation of the Chinese surname 趙.
 E1176472 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: Jiu | Statement: [趙, YaleRomanization, Jiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jiu
Context triple: [趙, YaleRomanization, Jiu]
  • A. Jian
    Jian is the given name of Ma Jian, a prominent Chinese-born writer known for his politically charged fiction and essays critical of contemporary China.
  • B. Juià
    Juià is a small municipality in the province of Girona, in the Catalonia region of northeastern Spain.
  • C. Jie
    The Jie are a pastoralist ethnic group of East Africa, primarily inhabiting parts of South Sudan and neighboring regions, known for cattle herding and clan-based social organization.
  • D. Jie
    Jie is the given name of Ke Jie, a prominent Chinese professional Go player and former world champion.
  • E. Wako
    Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
  • 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: Jiu
Triple: [趙, YaleRomanization, Jiu]
Generated description
Jiu is the Yale romanization of the Cantonese pronunciation of the Chinese surname 趙.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jiu
Target entity description: Jiu is the Yale romanization of the Cantonese pronunciation of the Chinese surname 趙.
  • A. Jian
    Jian is the given name of Ma Jian, a prominent Chinese-born writer known for his politically charged fiction and essays critical of contemporary China.
  • B. Juià
    Juià is a small municipality in the province of Girona, in the Catalonia region of northeastern Spain.
  • C. Jie
    The Jie are a pastoralist ethnic group of East Africa, primarily inhabiting parts of South Sudan and neighboring regions, known for cattle herding and clan-based social organization.
  • D. Jie
    Jie is the given name of Ke Jie, a prominent Chinese professional Go player and former world champion.
  • E. Wako
    Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b524835c8190ae286b2562f07756 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b4fe5881909471887219654d69 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff92c07f60819089c3faeea98e329c completed May 9, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff9383ff1c81909e34995818a3c3f7 completed May 9, 2026, 8:05 p.m.
Created at: April 10, 2026, 4:48 a.m.