Triple

T10076647
Position Surface form Disambiguated ID Type / Status
Subject Fen River E213779 entity
Predicate mouthLocation P417 FINISHED
Object Hejin
Hejin is a county-level city in southern Shanxi Province, China, situated along the Fen River near its confluence with the Yellow River.
 E840402 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: Hejin | Statement: [Fen River, mouthLocation, Hejin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hejin
Context triple: [Fen River, mouthLocation, Hejin]
  • A. Hanyang
    Hanyang is a historic district and former city now incorporated into Wuhan in Hubei Province, China, known for its early industrial development and strategic location at the confluence of the Han and Yangtze rivers.
  • B. Xintai
    Xintai is a county-level city in Shandong Province, China, administered by the prefecture-level city of Tai'an.
  • C. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • D. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • E. Hanseong
    Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in 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: Hejin
Triple: [Fen River, mouthLocation, Hejin]
Generated description
Hejin is a county-level city in southern Shanxi Province, China, situated along the Fen River near its confluence with the Yellow River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hejin
Target entity description: Hejin is a county-level city in southern Shanxi Province, China, situated along the Fen River near its confluence with the Yellow River.
  • A. Hanyang
    Hanyang is a historic district and former city now incorporated into Wuhan in Hubei Province, China, known for its early industrial development and strategic location at the confluence of the Han and Yangtze rivers.
  • B. Xintai
    Xintai is a county-level city in Shandong Province, China, administered by the prefecture-level city of Tai'an.
  • C. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • D. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • E. Hanseong
    Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b649b7488190ad765d4ee6eac5d7 completed April 5, 2026, 7:21 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 8:59 p.m.