Triple

T5075659
Position Surface form Disambiguated ID Type / Status
Subject Heilongjiang E114388 entity
Predicate containsCity P294 FINISHED
Object Jixi
Jixi is a coal-mining and industrial city in southeastern Heilongjiang Province in northeastern China, near the border with Russia.
 E496545 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: Jixi | Statement: [Heilongjiang, containsCity, Jixi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jixi
Context triple: [Heilongjiang, containsCity, Jixi]
  • A. Jixi
    Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
  • B. Longyan
    Longyan is a prefecture-level city in western Fujian Province, China, known for its Hakka culture, mountainous landscapes, and historic tulou earthen dwellings.
  • C. Yichun
    Yichun is a prefecture-level city in western Jiangxi Province, China, known for its natural scenery, hot springs, and cultural heritage.
  • D. Yichun
    Yichun is a forest-rich prefecture-level city in northeastern China known for its extensive woodland resources and cold climate.
  • E. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • 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: Jixi
Triple: [Heilongjiang, containsCity, Jixi]
Generated description
Jixi is a coal-mining and industrial city in southeastern Heilongjiang Province in northeastern China, near the border with Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jixi
Target entity description: Jixi is a coal-mining and industrial city in southeastern Heilongjiang Province in northeastern China, near the border with Russia.
  • A. Jixi
    Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
  • B. Longyan
    Longyan is a prefecture-level city in western Fujian Province, China, known for its Hakka culture, mountainous landscapes, and historic tulou earthen dwellings.
  • C. Yichun
    Yichun is a prefecture-level city in western Jiangxi Province, China, known for its natural scenery, hot springs, and cultural heritage.
  • D. Yichun
    Yichun is a forest-rich prefecture-level city in northeastern China known for its extensive woodland resources and cold climate.
  • E. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d2243481908c1ae62f7123c4e9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec35e7b848190bbb4cea9d09531e0 completed March 21, 2026, 4:12 p.m.
NEDg Description generation batch_69bec505a5dc81908f79c1ade107c4ce completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec654fc4881909bf5458cdafc7ffd completed March 21, 2026, 4:24 p.m.
Created at: March 20, 2026, 1:39 p.m.