Triple
T18238507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 归元禅寺 |
E436743
|
entity |
| Predicate | 是否对外开放 |
P18212
|
FINISHED |
| Object | 是 |
—
|
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: 是 | Statement: [归元禅寺, 是否对外开放, 是]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 是否对外开放 Context triple: [归元禅寺, 是否对外开放, 是]
-
A.
hasPartOpenToPublic
Indicates that some portion or component of an entity is accessible for use or visitation by the general public.
-
B.
openToPublicDuring
Indicates that something is accessible or available for use by the general public during a specified time period or schedule.
-
C.
openedForPublic
chosen
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
D.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
E.
isPublicMuseum
Indicates that an institution operates as a museum that is open and accessible to the general public, typically under public or non-profit ownership or management.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e0a0ac819090d48ae45b1ebfc9 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.