Triple

T26816178
Position Surface form Disambiguated ID Type / Status
Subject Po Lin Monastery E675125 entity
Predicate hasFeature P182 FINISHED
Object Grand Hall of Ten Thousand Buddhas
The Grand Hall of Ten Thousand Buddhas is a major Buddhist worship hall renowned for its countless Buddha images and elaborate religious architecture within Hong Kong’s Po Lin Monastery.
E1744388 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: Grand Hall of Ten Thousand Buddhas | Statement: [Po Lin Monastery, hasFeature, Grand Hall of Ten Thousand Buddhas]
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: Grand Hall of Ten Thousand Buddhas
Triple: [Po Lin Monastery, hasFeature, Grand Hall of Ten Thousand Buddhas]
Generated description
The Grand Hall of Ten Thousand Buddhas is a major Buddhist worship hall renowned for its countless Buddha images and elaborate religious architecture within Hong Kong’s Po Lin Monastery.

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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61a85eee481909550d515a5b8feea completed May 2, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12133628ec8190840ad3d13e4fce9a completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a1213e1db8c81909e9d6d69b10ec80a completed May 23, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_6a12143c15d08190a545c5a7c39891e6 completed May 23, 2026, 8:55 p.m.
Created at: April 27, 2026, 4:52 a.m.