Triple

T20669684
Position Surface form Disambiguated ID Type / Status
Subject Werner Lorant E507986 entity
Predicate employer P7 FINISHED
Object Sichuan Guancheng
Sichuan Guancheng was a Chinese professional football club that competed in the country’s top leagues in the early 2000s.
 E1444740 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: Sichuan Guancheng | Statement: [Werner Lorant, employer, Sichuan Guancheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sichuan Guancheng
Context triple: [Werner Lorant, employer, Sichuan Guancheng]
  • A. Lichuan
    Lichuan is a city in southwestern Hubei Province, China, historically noted as the site of the Battle of Lichuan.
  • B. Shicheng
    Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
  • C. Luzhou
    Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
  • D. Luzhou
    Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
  • E. Guangyuan
    Guangyuan is a prefecture-level city in northern Sichuan, China, known as a regional transport hub with historical and cultural significance along the upper reaches of the Jialing 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: Sichuan Guancheng
Triple: [Werner Lorant, employer, Sichuan Guancheng]
Generated description
Sichuan Guancheng was a Chinese professional football club that competed in the country’s top leagues in the early 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sichuan Guancheng
Target entity description: Sichuan Guancheng was a Chinese professional football club that competed in the country’s top leagues in the early 2000s.
  • A. Lichuan
    Lichuan is a city in southwestern Hubei Province, China, historically noted as the site of the Battle of Lichuan.
  • B. Shicheng
    Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
  • C. Luzhou
    Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
  • D. Luzhou
    Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
  • E. Guangyuan
    Guangyuan is a prefecture-level city in northern Sichuan, China, known as a regional transport hub with historical and cultural significance along the upper reaches of the Jialing River.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c735048190a01cb7692928d66e completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd64aa4081908cf843a32e99ae01 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.