Triple

T21748528
Position Surface form Disambiguated ID Type / Status
Subject Tonghua E536849 entity
Predicate hasSubdivision P747 FINISHED
Object Meihekou
Meihekou is a county-level city in southeastern Jilin Province, China, known for its coal mining industry and administration under the prefecture-level city of Tonghua.
 E1499750 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: Meihekou | Statement: [Tonghua, hasSubdivision, Meihekou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meihekou
Context triple: [Tonghua, hasSubdivision, Meihekou]
  • A. Huludao
    Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
  • B. Tieling
    Tieling is a prefecture-level city in northeastern China known for its coal resources and location within Liaoning Province.
  • C. Ning'an
    Ning'an is a county-level city in southeastern Heilongjiang Province, China, known for its historical sites and proximity to Jingpo Lake.
  • D. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • E. 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.
  • 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: Meihekou
Triple: [Tonghua, hasSubdivision, Meihekou]
Generated description
Meihekou is a county-level city in southeastern Jilin Province, China, known for its coal mining industry and administration under the prefecture-level city of Tonghua.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meihekou
Target entity description: Meihekou is a county-level city in southeastern Jilin Province, China, known for its coal mining industry and administration under the prefecture-level city of Tonghua.
  • A. Huludao
    Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
  • B. Tieling
    Tieling is a prefecture-level city in northeastern China known for its coal resources and location within Liaoning Province.
  • C. Ning'an
    Ning'an is a county-level city in southeastern Heilongjiang Province, China, known for its historical sites and proximity to Jingpo Lake.
  • D. Lianyungang
    Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
  • E. 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.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a77e19c81909bf26f96aa41a7ce completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ee08d148190bda4aeeddc28c051 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a30369e04819091a175b93ed685a0 completed May 17, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0a30ded0f081909589e57a4cc030fd completed May 17, 2026, 9:19 p.m.
Created at: April 16, 2026, 6:50 p.m.