Triple

T234991
Position Surface form Disambiguated ID Type / Status
Subject Melbourne E4488 entity
Predicate hasSisterCity P919 FINISHED
Object Tianjin
Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
 E31338 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: Tianjin | Statement: [Melbourne, hasSisterCity, Tianjin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tianjin
Context triple: [Melbourne, hasSisterCity, Tianjin]
  • A. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • B. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • C. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • D. Wuhan
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • E. Hefei
    Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
  • 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: Tianjin
Triple: [Melbourne, hasSisterCity, Tianjin]
Generated description
Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tianjin
Target entity description: Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • A. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • B. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • C. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • D. Wuhan
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • E. Hefei
    Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cc9ab2c81909af278a07f86aa1e completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3695d08588190892d271c03fdf1e6 completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a369d2b56c8190a6381b2da3e42e18 completed Feb. 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69a36a9f31408190b8f0e8273ff3a298 completed Feb. 28, 2026, 10:22 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.