Triple
T25470134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cihu Presidential Burial Place of Chiang Kai-shek |
E638281
|
entity |
| Predicate | hasPrimaryBurialOf |
P62966
|
FINISHED |
| Object | Chiang Kai-shek |
—
|
NE NERFINISHED |
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: Chiang Kai-shek | Statement: [Cihu Presidential Burial Place of Chiang Kai-shek, hasPrimaryBurialOf, Chiang Kai-shek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryBurialOf Context triple: [Cihu Presidential Burial Place of Chiang Kai-shek, hasPrimaryBurialOf, Chiang Kai-shek]
-
A.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
B.
hasBurialsOf
chosen
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
C.
isBuriedIn
Indicates that one entity is located beneath the ground or enclosed within another entity, typically as in a grave, tomb, or burial site.
-
D.
burialPlace
Indicates the location where a person or entity is buried.
-
E.
firstBurial
Indicates that an entity is the earliest or initial burial associated with a person, place, or burial context.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 21, 2026, 2:22 p.m.