Triple

T9926739
Position Surface form Disambiguated ID Type / Status
Subject Zhenhai Tower E187941 entity
Predicate alsoKnownAs P39 FINISHED
Object Wulou
Wulou is the traditional name for Zhenhai Tower, a historic multi-story landmark in Guangzhou, China, known for its commanding views and cultural significance.
 E829146 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: Wulou | Statement: [Zhenhai Tower, alsoKnownAs, Wulou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wulou
Context triple: [Zhenhai Tower, alsoKnownAs, Wulou]
  • A. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • B. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • C. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • D. Jingnan
    Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
  • E. Qujing
    Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
  • 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: Wulou
Triple: [Zhenhai Tower, alsoKnownAs, Wulou]
Generated description
Wulou is the traditional name for Zhenhai Tower, a historic multi-story landmark in Guangzhou, China, known for its commanding views and cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wulou
Target entity description: Wulou is the traditional name for Zhenhai Tower, a historic multi-story landmark in Guangzhou, China, known for its commanding views and cultural significance.
  • A. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • B. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • C. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • D. Jingnan
    Jingnan was a small regional kingdom in south-central China that existed during the Five Dynasties and Ten Kingdoms period.
  • E. Qujing
    Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59b85f88190899ea279fc02660f completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d20ed2dea481909fd9a9dddac3daf1 completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d20fef723881909d8d57548461926f completed April 5, 2026, 7:31 a.m.
Created at: March 30, 2026, 8:43 p.m.