Triple
T16638467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero of the Republic (North Korea) |
E404267
|
entity |
| Predicate | conferredByDecree |
P10140
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hero of the Republic (North Korea), conferredByDecree, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferredByDecree Context triple: [Hero of the Republic (North Korea), conferredByDecree, yes]
-
A.
awardedByDecreeOf
chosen
Indicates that something (such as a title, right, or benefit) is formally granted or conferred through an official decree or authoritative order.
-
B.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
C.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
D.
royalAppointment
Indicates a formal position, role, or honor that has been officially granted to an entity by a monarch or royal authority.
-
E.
subjectOfDecreeBy
Indicates that an entity is the topic or matter formally addressed, regulated, or decided upon in an official decree issued by another 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378eb07388190a10e896bae7f098e |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:18 a.m.