Triple

T8398205
Position Surface form Disambiguated ID Type / Status
Subject Bukit Larut E198105 entity
Predicate hasViewOf P854 FINISHED
Object Taiping town
Taiping town is a historic Malaysian town in Perak known for its colonial-era architecture, lush lake gardens, and high annual rainfall.
E730591 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: Taiping town | Statement: [Bukit Larut, hasViewOf, Taiping town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taiping town
Context triple: [Bukit Larut, hasViewOf, Taiping town]
  • A. Gaotangling town
    Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, China.
  • B. Xikou Town
    Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
  • C. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • D. Miaohang Town
    Miaohang Town is a suburban township-level division in the northern part of Shanghai, China, known for its mix of residential, industrial, and developing urban areas.
  • E. Luojing Town
    Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
  • 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: Taiping town
Triple: [Bukit Larut, hasViewOf, Taiping town]
Generated description
Taiping town is a historic Malaysian town in Perak known for its colonial-era architecture, lush lake gardens, and high annual rainfall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taiping town
Target entity description: Taiping town is a historic Malaysian town in Perak known for its colonial-era architecture, lush lake gardens, and high annual rainfall.
  • A. Gaotangling town
    Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, China.
  • B. Xikou Town
    Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
  • C. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • D. Miaohang Town
    Miaohang Town is a suburban township-level division in the northern part of Shanghai, China, known for its mix of residential, industrial, and developing urban areas.
  • E. Luojing Town
    Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb818a8dc081908efd5d7f910322e7 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde86f6e148190812a8a9737310501 completed April 2, 2026, 3:54 a.m.
NEDg Description generation batch_69cdebfd60188190a1681344e2bf1e9e completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded2fa42c8190bfbfc79caf38bf8e completed April 2, 2026, 4:14 a.m.
Created at: March 30, 2026, 6:04 p.m.