Triple

T17160337
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Lavida E416458 entity
Predicate marketName P24366 FINISHED
Object 朗逸 (Langyi) in Chinese
朗逸（Langyi）是大众汽车专为中国市场打造的一款紧凑型家用轿车，以实用性和性价比著称。
 E1254818 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: 朗逸 (Langyi) in Chinese | Statement: [Volkswagen Lavida, marketName, 朗逸 (Langyi) in Chinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 朗逸 (Langyi) in Chinese
Context triple: [Volkswagen Lavida, marketName, 朗逸 (Langyi) in Chinese]
  • A. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • B. Jìlǔ Guānhuà
    Jìlǔ Guānhuà is a major dialect group of Mandarin Chinese spoken primarily in parts of Hebei and Shandong provinces.
  • C. Shang-A-Lang
    Shang-A-Lang is a punk rock band known for its raw, melodic sound and releases on independent labels like Recess Records.
  • D. Yongqi
    Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
  • E. Yikatong
    Yikatong is Beijing’s contactless smart card system used for paying fares on public transportation and other city services.
  • 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: 朗逸 (Langyi) in Chinese
Triple: [Volkswagen Lavida, marketName, 朗逸 (Langyi) in Chinese]
Generated description
朗逸（Langyi）是大众汽车专为中国市场打造的一款紧凑型家用轿车，以实用性和性价比著称。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 朗逸 (Langyi) in Chinese
Target entity description: 朗逸（Langyi）是大众汽车专为中国市场打造的一款紧凑型家用轿车，以实用性和性价比著称。
  • A. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • B. Jìlǔ Guānhuà
    Jìlǔ Guānhuà is a major dialect group of Mandarin Chinese spoken primarily in parts of Hebei and Shandong provinces.
  • C. Shang-A-Lang
    Shang-A-Lang is a punk rock band known for its raw, melodic sound and releases on independent labels like Recess Records.
  • D. Yongqi
    Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
  • E. Yikatong
    Yikatong is Beijing’s contactless smart card system used for paying fares on public transportation and other city services.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f911114481909c865b2e2d3b3a2b completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148376bc081908372366203a27fa8 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014b5691a881908fdad49f7dadc76c completed May 11, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a014bbc921081909c39cd6d11400b56 completed May 11, 2026, 3:23 a.m.
Created at: April 10, 2026, 5:37 a.m.