Triple
T27958049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Key Buddhist Temple in Han Chinese Area |
E703604
|
entity |
| Predicate | statusConferredOn |
P18219
|
FINISHED |
| Object | temple property |
—
|
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: temple property | Statement: [National Key Buddhist Temple in Han Chinese Area, statusConferredOn, temple property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusConferredOn Context triple: [National Key Buddhist Temple in Han Chinese Area, statusConferredOn, temple property]
-
A.
conferredOn
chosen
Indicates that something (such as an honor, title, degree, or benefit) has been formally granted or bestowed upon a particular entity.
-
B.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
-
C.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
D.
dateGranted
Indicates the specific date on which a right, status, or permission was formally conferred or approved.
-
E.
awardedDate
Indicates the date on which an award, prize, or honor was formally given to an entity.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 27, 2026, 7:29 p.m.