Triple
T862097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial |
E18619
|
entity |
| Predicate | SakharovPrizeYear |
P20290
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Memorial, SakharovPrizeYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SakharovPrizeYear Context triple: [Memorial, SakharovPrizeYear, 2009]
-
A.
NobelPrizeYear
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
-
B.
sharedNobelPeacePrizeWith
Indicates that two or more individuals jointly received the same Nobel Peace Prize in the same year.
-
C.
awardYear_MillenniumTechnologyPrize
Indicates the year in which the Millennium Technology Prize was awarded to the associated recipient or work.
-
D.
typicalNumberOfLaureatesPerYear
Indicates the usual or average number of laureates associated with a given award or context in a single year.
-
E.
sharedNobelPrizeWith
Indicates that two individuals were jointly awarded the same Nobel Prize, sharing the honor for a particular year and category.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.