Triple

T16919500
Position Surface form Disambiguated ID Type / Status
Subject Bazhou North railway station E410407 entity
Predicate locatedIn P40 FINISHED
Object Bazhou
Bazhou is a county-level city in Hebei Province, China, known as a regional transport hub within the Beijing–Tianjin–Hebei metropolitan area.
 E1246793 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: [Bazhou North railway station, locatedIn, Bazhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazhou
Context triple: [Bazhou North railway station, locatedIn, Bazhou]
  • A. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • B. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • C. Ruchang
    Ruchang is a Chinese given name most notably borne by Ding Ruchang, a late Qing dynasty naval commander.
  • D. Yifang
    Yifang is a given name of Chinese origin used for both males and females.
  • E. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • 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: [Bazhou North railway station, locatedIn, Bazhou]
Generated description
Bazhou is a county-level city in Hebei Province, China, known as a regional transport hub within the Beijing–Tianjin–Hebei metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazhou
Target entity description: Bazhou is a county-level city in Hebei Province, China, known as a regional transport hub within the Beijing–Tianjin–Hebei metropolitan area.
  • A. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • B. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • C. Ruchang
    Ruchang is a Chinese given name most notably borne by Ding Ruchang, a late Qing dynasty naval commander.
  • D. Yifang
    Yifang is a given name of Chinese origin used for both males and females.
  • E. Luzhi
    Luzhi is an ancient canal town near Suzhou in China, renowned for its well-preserved waterways, stone bridges, and traditional Jiangnan architecture.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cded2f8481909a20cc08b47e922e completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b3bb69081908805c30d50242eb6 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011f0ea4f88190b24efd33ac46578f completed May 11, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_6a011f2f41f48190ba48d7ecf981b4de completed May 11, 2026, 12:13 a.m.
Created at: April 10, 2026, 5:30 a.m.