Triple

T5033678
Position Surface form Disambiguated ID Type / Status
Subject Blagoveshchensk E113367 entity
Predicate hasSisterCity P919 FINISHED
Object Daqing
Daqing is a major industrial city in northeastern China best known for its large oil fields and role as a center of the country’s petroleum industry.
 E520233 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: Daqing | Statement: [Blagoveshchensk, hasSisterCity, Daqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daqing
Context triple: [Blagoveshchensk, hasSisterCity, Daqing]
  • A. Hegang
    Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
  • B. Qiqihar
    Qiqihar is a major industrial city in northeastern China’s Heilongjiang province, known historically as a regional transportation hub and center for heavy industry.
  • C. Jiamusi
    Jiamusi is a prefecture-level city in northeastern China’s Heilongjiang province, known as an important regional industrial and transportation hub.
  • D. Harbin
    Harbin is a major city in northeastern China known for its Russian-influenced architecture and its internationally famous annual ice and snow festival.
  • E. Danzhou
    Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic 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: Daqing
Triple: [Blagoveshchensk, hasSisterCity, Daqing]
Generated description
Daqing is a major industrial city in northeastern China best known for its large oil fields and role as a center of the country’s petroleum industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daqing
Target entity description: Daqing is a major industrial city in northeastern China best known for its large oil fields and role as a center of the country’s petroleum industry.
  • A. Hegang
    Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
  • B. Qiqihar
    Qiqihar is a major industrial city in northeastern China’s Heilongjiang province, known historically as a regional transportation hub and center for heavy industry.
  • C. Jiamusi
    Jiamusi is a prefecture-level city in northeastern China’s Heilongjiang province, known as an important regional industrial and transportation hub.
  • D. Harbin
    Harbin is a major city in northeastern China known for its Russian-influenced architecture and its internationally famous annual ice and snow festival.
  • E. Danzhou
    Danzhou is a county-level city in northwestern Hainan, China, known for its agricultural production and growing role as a regional economic 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b68d8c8190b8e04fb406abdb0f completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf410eb03c81909aca9aca27cc82c1 completed March 22, 2026, 1:08 a.m.
NEDg Description generation batch_69bf4207393c819089b4fc6691a2d076 completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf427e2bd08190b7664922d26e16d2 completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 1:36 p.m.