Triple
T27894012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 白马寺 |
E705437
|
entity |
| Predicate | 被誉为 |
P163261
|
FINISHED |
| Object | 佛教传入中国后兴建的第一座官办寺院 |
—
|
LITERAL 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: 佛教传入中国后兴建的第一座官办寺院 | Statement: [白马寺, 被誉为, 佛教传入中国后兴建的第一座官办寺院]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 被誉为 Context triple: [白马寺, 被誉为, 佛教传入中国后兴建的第一座官办寺院]
-
A.
被誉为
chosen
Indicates that someone or something is praised, recognized, or honored as having a particular title, reputation, or status.
-
B.
著名分野
Indicates that an entity is notable or famous specifically in the referenced field or domain.
-
C.
築城者
Indicates the agent or person responsible for constructing or building a castle or fortress.
-
D.
Wang Ben
Indicates a relationship or action involving an entity named "Wang Ben," such as authorship, participation, or association, depending on the specific context in which the predicate is used.
-
E.
別当寺格
Indicates a formal relationship in which a temple holds the status or rank of a “bettō-ji,” serving as an administratively or ritually responsible temple attached to a shrine or institution.
- F. None of above.
Provenance (3 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_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:37 p.m.