Triple

T8006317
Position Surface form Disambiguated ID Type / Status
Subject White Horse Temple E186371 entity
Predicate ChineseName P744 FINISHED
Object 白马寺
白马寺是位于中国河南省洛阳市、被誉为中国第一古刹的著名佛教寺院。
 E705437 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: 白马寺 | Statement: [White Horse Temple, ChineseName, 白马寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 白马寺
Context triple: [White Horse Temple, ChineseName, 白马寺]
  • A. 太庙
    太庙是北京故宫东侧一座明清皇家宗庙建筑群，现为对公众开放的历史文化景区。
  • B. 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。
  • C. 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。
  • D. Lingyin Temple
    Lingyin Temple is one of China’s most renowned and historic Buddhist temples, nestled in a scenic valley near West Lake in Hangzhou.
  • E. Guiyuan Temple
    Guiyuan Temple is a historic and renowned Buddhist temple in Wuhan, China, known for its rich cultural heritage and significant religious influence.
  • 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: 白马寺
Triple: [White Horse Temple, ChineseName, 白马寺]
Generated description
白马寺是位于中国河南省洛阳市、被誉为中国第一古刹的著名佛教寺院。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 白马寺
Target entity description: 白马寺是位于中国河南省洛阳市、被誉为中国第一古刹的著名佛教寺院。
  • A. 太庙
    太庙是北京故宫东侧一座明清皇家宗庙建筑群，现为对公众开放的历史文化景区。
  • B. 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。
  • C. 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。
  • D. Lingyin Temple
    Lingyin Temple is one of China’s most renowned and historic Buddhist temples, nestled in a scenic valley near West Lake in Hangzhou.
  • E. Guiyuan Temple
    Guiyuan Temple is a historic and renowned Buddhist temple in Wuhan, China, known for its rich cultural heritage and significant religious influence.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe12c068c8190a6ea7e924a7748c6 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:18 p.m.