Triple

T10926581
Position Surface form Disambiguated ID Type / Status
Subject Fahua Pagoda E258083 entity
Predicate hasNameInLanguage P15 FINISHED
Object 法华塔
法华塔是一座以佛教法华经命名的中国古塔,因其历史文化价值和独特建筑风格而闻名。
E893541 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: 法华塔 | Statement: [Fahua Pagoda, hasNameInLanguage, 法华塔]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 法华塔
Context triple: [Fahua Pagoda, hasNameInLanguage, 法华塔]
  • A. 佛香阁
    佛香阁是位于北京颐和园万寿山上的标志性古建筑,也是清代皇家园林中最著名的佛教建筑之一。
  • B. 方塔
    方塔 is a historic multi-story brick-and-wood pagoda located in Shanghai’s Songjiang District, renowned as a landmark example of traditional Chinese Buddhist architecture.
  • C. 法门寺
    法门寺 is a famous Buddhist temple in Fufeng County, Shaanxi, China, renowned as a historic pilgrimage site that houses revered relics of the Buddha.
  • D. 归元禅寺
    归元禅寺是一座位于湖北省武汉市汉阳区、以古朴建筑和众多佛像而闻名的历史悠久佛教寺院。
  • E. 三井寺
    三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
  • 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: 法华塔
Triple: [Fahua Pagoda, hasNameInLanguage, 法华塔]
Generated description
法华塔是一座以佛教法华经命名的中国古塔,因其历史文化价值和独特建筑风格而闻名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 法华塔
Target entity description: 法华塔是一座以佛教法华经命名的中国古塔,因其历史文化价值和独特建筑风格而闻名。
  • A. 佛香阁
    佛香阁是位于北京颐和园万寿山上的标志性古建筑,也是清代皇家园林中最著名的佛教建筑之一。
  • B. 方塔
    方塔 is a historic multi-story brick-and-wood pagoda located in Shanghai’s Songjiang District, renowned as a landmark example of traditional Chinese Buddhist architecture.
  • C. 法门寺
    法门寺 is a famous Buddhist temple in Fufeng County, Shaanxi, China, renowned as a historic pilgrimage site that houses revered relics of the Buddha.
  • D. 归元禅寺
    归元禅寺是一座位于湖北省武汉市汉阳区、以古朴建筑和众多佛像而闻名的历史悠久佛教寺院。
  • E. 三井寺
    三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709165188190aa30dd08deddade4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.