Triple

T4255718
Position Surface form Disambiguated ID Type / Status
Subject Ma’anshan E95967 entity
Predicate hasNameInChinese P4878 FINISHED
Object 马鞍山
马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
 E424699 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: 马鞍山 | Statement: [Ma’anshan, hasNameInChinese, 马鞍山]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 马鞍山
Context triple: [Ma’anshan, hasNameInChinese, 马鞍山]
  • A. 六安
    六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
  • B. Huainan
    Huainan is a prefecture-level industrial city in China's Anhui province, historically known for its coal mining and its location in the Huai River basin.
  • C. Suzhou (Anhui)
    Suzhou (Anhui) is a county-level city in northern Anhui Province, China, known as an important regional center for agriculture and light industry.
  • D. Huangshan (city)
    Huangshan is a scenic city in southern Anhui Province, China, best known as the gateway to the famous Yellow Mountain (Huangshan) range and its surrounding cultural and natural heritage sites.
  • E. Chuzhou
    Chuzhou is a prefecture-level city in eastern China known for its location near the Yangtze River and its role as a regional transportation and agricultural hub in Anhui Province.
  • 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: 马鞍山
Triple: [Ma’anshan, hasNameInChinese, 马鞍山]
Generated description
马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 马鞍山
Target entity description: 马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
  • A. 六安
    六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
  • B. Huainan
    Huainan is a prefecture-level industrial city in China's Anhui province, historically known for its coal mining and its location in the Huai River basin.
  • C. Suzhou (Anhui)
    Suzhou (Anhui) is a county-level city in northern Anhui Province, China, known as an important regional center for agriculture and light industry.
  • D. Huangshan (city)
    Huangshan is a scenic city in southern Anhui Province, China, best known as the gateway to the famous Yellow Mountain (Huangshan) range and its surrounding cultural and natural heritage sites.
  • E. Chuzhou
    Chuzhou is a prefecture-level city in eastern China known for its location near the Yangtze River and its role as a regional transportation and agricultural hub in Anhui Province.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:06 p.m.