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.