Triple
T27894033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 白马寺 |
E705437
|
entity |
| Predicate | 开放状态 |
P18212
|
FINISHED |
| Object | 对公众开放 |
—
|
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: 对公众开放 | Statement: [白马寺, 开放状态, 对公众开放]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 开放状态 Context triple: [白马寺, 开放状态, 对公众开放]
-
A.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
B.
openedForPublic
chosen
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
C.
opened
Indicates that one entity caused another entity (such as an object, container, or passage) to change from a closed or inaccessible state to an open or accessible state.
-
D.
openAndAffirmingStatus
Indicates whether an organization explicitly identifies as welcoming and inclusive, particularly toward LGBTQ+ individuals, often within a religious or community context.
-
E.
isOpenStandard
Indicates that something conforms to a publicly available, non-proprietary standard that can be implemented and used without restrictive licensing.
- 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_69f639b7b29881909191f697802f043f |
completed | May 2, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
Created at: April 27, 2026, 6:37 p.m.