Triple
T862098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial |
E18619
|
entity |
| Predicate | co-recipientOf |
P11455
|
FINISHED |
| Object | 2022 Nobel Peace Prize |
—
|
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: 2022 Nobel Peace Prize | Statement: [Memorial, co-recipientOf, 2022 Nobel Peace Prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: co-recipientOf Context triple: [Memorial, co-recipientOf, 2022 Nobel Peace Prize]
-
A.
coRecipientOfAward
chosen
Indicates that two or more entities jointly received the same award.
-
B.
awardedJointlyWith
Indicates that an award or honor is given to one entity together with another entity as co-recipients.
-
C.
coRecipientWith
Indicates that two or more entities receive the same item, benefit, or communication together as joint recipients.
-
D.
notableFieldOfRecipients
Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
-
E.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6631408190a19b83126fa86100 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa84835081908aaf98b10656d7d6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.