Triple
T2288103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Peace Prize |
E51439
|
entity |
| Predicate | hasAwardedOrganizationType |
P1497
|
FINISHED |
| Object | non-governmental organization |
—
|
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: non-governmental organization | Statement: [Seoul Peace Prize, hasAwardedOrganizationType, non-governmental organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedOrganizationType Context triple: [Seoul Peace Prize, hasAwardedOrganizationType, non-governmental organization]
-
A.
hasAwardingBodyType
chosen
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
B.
awardingOrganization
Indicates the organization that grants, confers, or issues an award, honor, or similar recognition to a recipient.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
E.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2497ce881909b05eb9cec67d9e7 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.