Triple
T10270082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leelavati Prize |
E240810
|
entity |
| Predicate | yearAwardedToSimonSingh |
P93044
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Leelavati Prize, yearAwardedToSimonSingh, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAwardedToSimonSingh Context triple: [Leelavati Prize, yearAwardedToSimonSingh, 2010]
-
A.
WolfPrizeYear
Indicates the year in which a given Wolf Prize was awarded.
-
B.
valueOfSingleMillenniumPrize
Indicates the monetary value associated with a single Millennium Prize.
-
C.
AbelPrizeYear
Indicates the year in which an entity received or is associated with the Abel Prize.
-
D.
millenniumPrizeDecision
Indicates that a decision has been made regarding the awarding or outcome of a Millennium Prize (typically a Millennium Prize Problem) for a given subject or candidate.
-
E.
receivedAbelPrizeWith
Indicates that two or more entities jointly received the Abel Prize in the same year or for the same recognized work.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d285812c8190ab910dc85c53eebf |
completed | April 7, 2026, 9:46 a.m. |
Created at: April 6, 2026, 11:35 a.m.