Triple

T27893948
Position Surface form Disambiguated ID Type / Status
Subject Hall of Heavenly Kings E705435 entity
Predicate ChineseName P744 FINISHED
Object 天王殿
天王殿是中国佛教寺院中供奉四大天王、通常位于山门之后的重要殿堂建筑。
 E1794782 NE FINISHED

How this triple was built (2 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: 天王殿 | Statement: [Hall of Heavenly Kings, ChineseName, 天王殿]
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: 天王殿
Triple: [Hall of Heavenly Kings, ChineseName, 天王殿]
Generated description
天王殿是中国佛教寺院中供奉四大天王、通常位于山门之后的重要殿堂建筑。

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_69ef96b490ac8190a412d04c5d009f3e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f639b7b29881909191f697802f043f completed May 2, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a130360a024819080fe9422bb53342f completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a1304306b688190b128a526eea2486e completed May 24, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a130625d7a48190a885048db3b29854 completed May 24, 2026, 2:07 p.m.
Created at: April 27, 2026, 6:37 p.m.