Triple

T21644428
Position Surface form Disambiguated ID Type / Status
Subject Battle of Zhenhai E534178 entity
Predicate location P40 FINISHED
Object Zhenhai
Zhenhai is a coastal district of Ningbo in China’s Zhejiang province, historically significant as a strategic port and defensive site.
 E1494376 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: Zhenhai | Statement: [Battle of Zhenhai, location, Zhenhai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhenhai
Context triple: [Battle of Zhenhai, location, Zhenhai]
  • A. Zaiyuan
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • B. Liqing
    Liqing is a given name, notably borne by Chinese entrepreneur Zeng Liqing, co-founder of Tencent.
  • C. Waigaoqiao
    Waigaoqiao is a subdistrict in Shanghai known for its major port facilities and role in the city’s free trade and industrial zones.
  • D. Zhenze
    Zhenze is a historic canal town in eastern China known for its traditional waterways, ancient bridges, and well-preserved Jiangnan-style architecture.
  • E. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • 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: Zhenhai
Triple: [Battle of Zhenhai, location, Zhenhai]
Generated description
Zhenhai is a coastal district of Ningbo in China’s Zhejiang province, historically significant as a strategic port and defensive site.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhenhai
Target entity description: Zhenhai is a coastal district of Ningbo in China’s Zhejiang province, historically significant as a strategic port and defensive site.
  • A. Zaiyuan
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • B. Liqing
    Liqing is a given name, notably borne by Chinese entrepreneur Zeng Liqing, co-founder of Tencent.
  • C. Waigaoqiao
    Waigaoqiao is a subdistrict in Shanghai known for its major port facilities and role in the city’s free trade and industrial zones.
  • D. Zhenze
    Zhenze is a historic canal town in eastern China known for its traditional waterways, ancient bridges, and well-preserved Jiangnan-style architecture.
  • E. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5393ed388190a0bc385de2b861bf completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa44ca88190a8a55c1811edc5a1 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a10c284548190abb5a0075f85ec2c completed May 17, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a119cb17c8190a8732930b78b60cc completed May 17, 2026, 7:06 p.m.
Created at: April 16, 2026, 6:35 p.m.