Triple

T4598021
Position Surface form Disambiguated ID Type / Status
Subject OCT East E100250 entity
Predicate near P350 FINISHED
Object Xiaomeisha
Xiaomeisha is a popular coastal resort area in Shenzhen, China, known for its sandy beaches, seaside recreation, and tourist attractions.
 E459621 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: Xiaomeisha | Statement: [OCT East, near, Xiaomeisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaomeisha
Context triple: [OCT East, near, Xiaomeisha]
  • A. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • B. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • C. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • 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: Xiaomeisha
Triple: [OCT East, near, Xiaomeisha]
Generated description
Xiaomeisha is a popular coastal resort area in Shenzhen, China, known for its sandy beaches, seaside recreation, and tourist attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaomeisha
Target entity description: Xiaomeisha is a popular coastal resort area in Shenzhen, China, known for its sandy beaches, seaside recreation, and tourist attractions.
  • A. Xiluoyuan
    Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
  • B. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • C. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59420c108190b5c2c5039e964da5 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa4f26d08190b9978c579623adcb completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfb37b1448190a4001b9ed2b79012 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc0e456c81908efa3858d981ccc0 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:11 p.m.