Triple

T233604
Position Surface form Disambiguated ID Type / Status
Subject Battle of Changsha E4460 entity
Predicate location P40 FINISHED
Object Changsha
Changsha is the capital city of Hunan Province in south-central China, known as a historic cultural center and major regional economic hub.
 E29743 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: Changsha | Statement: [Battle of Changsha, location, Changsha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Changsha
Context triple: [Battle of Changsha, location, Changsha]
  • A. Guangzhou
    Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
  • B. Wuhan
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • C. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • D. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • E. Hefei
    Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational 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: Changsha
Triple: [Battle of Changsha, location, Changsha]
Generated description
Changsha is the capital city of Hunan Province in south-central China, known as a historic cultural center and major regional economic hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Changsha
Target entity description: Changsha is the capital city of Hunan Province in south-central China, known as a historic cultural center and major regional economic hub.
  • A. Guangzhou
    Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
  • B. Wuhan
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • C. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • D. Shanghai
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • E. Hefei
    Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cb07b5c8190a482154819912abf completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a362bd591c8190940e6b1cd81017ae completed Feb. 28, 2026, 9:48 p.m.
NEDg Description generation batch_69a3632b0efc8190967d00b6a8dcfa4e completed Feb. 28, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69a36381ebd0819093a26d587c11ebe4 completed Feb. 28, 2026, 9:52 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.