Triple
T26615864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN Memorial Cemetery in Korea |
E668056
|
entity |
| Predicate | interredNation |
P53655
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [UN Memorial Cemetery in Korea, interredNation, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interredNation Context triple: [UN Memorial Cemetery in Korea, interredNation, Australia]
-
A.
numberOfInterred
Indicates the total count of individuals who are buried or interred at a given site or within a specified context.
-
B.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
C.
countryOfCemetery
Indicates that a cemetery is located within the territory of a specified country.
-
D.
primaryNationalityOfBurials
chosen
Indicates the main national affiliation shared by the individuals interred at a particular burial site.
-
E.
alsoBurials
Indicates that the subject location or record includes additional burial sites or burial events beyond the primary one referenced.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 2:18 a.m.