Triple
T6147825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Il-sung Square |
E137122
|
entity |
| Predicate | namedAfterRoleOfPerson |
P16867
|
FINISHED |
| Object | founder of North Korea |
—
|
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: founder of North Korea | Statement: [Kim Il-sung Square, namedAfterRoleOfPerson, founder of North Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterRoleOfPerson Context triple: [Kim Il-sung Square, namedAfterRoleOfPerson, founder of North Korea]
-
A.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
B.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
C.
namedForPoliticalRole
chosen
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
-
D.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
E.
notationRole
Indicates a role or function that an entity plays specifically within a system of notation or symbolic representation.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce07fb081909278088e9e2e2959 |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.