Triple

T6499224
Position Surface form Disambiguated ID Type / Status
Subject Langfang E148838 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Bazhou
Bazhou is a county-level city in northern China's Hebei province, administered by the prefecture-level city of Langfang.
 E148838 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: Bazhou | Statement: [Langfang, hasCountyLevelCity, Bazhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazhou
Context triple: [Langfang, hasCountyLevelCity, Bazhou]
  • A. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • B. Ruchang
    Ruchang is a Chinese given name most notably borne by Ding Ruchang, a late Qing dynasty naval commander.
  • C. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • D. Langfang
    Langfang is a prefecture-level city in northern China situated between Beijing and Tianjin, known for its strategic location and growing industrial and service sectors.
  • E. Chardzhou
    Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
  • 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: Bazhou
Triple: [Langfang, hasCountyLevelCity, Bazhou]
Generated description
Bazhou is a county-level city in northern China's Hebei province, administered by the prefecture-level city of Langfang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazhou
Target entity description: Bazhou is a county-level city in northern China's Hebei province, administered by the prefecture-level city of Langfang.
  • A. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • B. Ruchang
    Ruchang is a Chinese given name most notably borne by Ding Ruchang, a late Qing dynasty naval commander.
  • C. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • D. Langfang chosen
    Langfang is a prefecture-level city in northern China situated between Beijing and Tianjin, known for its strategic location and growing industrial and service sectors.
  • E. Chardzhou
    Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
  • F. None of above.

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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad1c46c819089db43e7c3a8d160 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb16d6a48190b6871e55fda2e1a6 completed March 27, 2026, 6:23 p.m.
NEDg Description generation batch_69c6d11efda48190b99b2793801898d1 completed March 27, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69c6d1d51d8c8190be4408413110ed9a completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 1:41 p.m.