Triple

T3408105
Position Surface form Disambiguated ID Type / Status
Subject Liaoning E71823 entity
Predicate majorCity P316 FINISHED
Object Huludao
Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
 E381470 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: Huludao | Statement: [Liaoning, majorCity, Huludao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huludao
Context triple: [Liaoning, majorCity, Huludao]
  • A. Dalian
    Dalian is a major port city in northeastern China known for its strategic location on the Liaodong Peninsula, maritime trade, and modern urban development.
  • B. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • C. Panjin
    Panjin is an industrial and oil-producing city in northeastern China, best known for its striking Red Beach wetlands along the Bohai Sea.
  • D. Qinhuangdao
    Qinhuangdao is a coastal port city in northeastern China known for its beaches, seaport, and proximity to the eastern end of the Great Wall.
  • E. Dandong
    Dandong is a northeastern Chinese border city on the Yalu River, known as a key gateway for trade and transport between China and North Korea.
  • 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: Huludao
Triple: [Liaoning, majorCity, Huludao]
Generated description
Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huludao
Target entity description: Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
  • A. Dalian
    Dalian is a major port city in northeastern China known for its strategic location on the Liaodong Peninsula, maritime trade, and modern urban development.
  • B. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • C. Panjin
    Panjin is an industrial and oil-producing city in northeastern China, best known for its striking Red Beach wetlands along the Bohai Sea.
  • D. Qinhuangdao
    Qinhuangdao is a coastal port city in northeastern China known for its beaches, seaport, and proximity to the eastern end of the Great Wall.
  • E. Dandong
    Dandong is a northeastern Chinese border city on the Yalu River, known as a key gateway for trade and transport between China and North Korea.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdc9089481909e9ef5f5e7edeaa6 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4cf5535748190b5dc3f23d1692e51 completed March 14, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69b4cfc29a18819087935c16f6ecd9e4 completed March 14, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:15 p.m.