Triple
T30111670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد البرادعي |
E765293
|
entity |
| Predicate | حائز_على |
P11
|
FINISHED |
| Object | جائزة نوبل للسلام |
—
|
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: جائزة نوبل للسلام | Statement: [محمد البرادعي, حائز_على, جائزة نوبل للسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حائز_على Context triple: [محمد البرادعي, حائز_على, جائزة نوبل للسلام]
-
A.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
B.
awardReceivedWith
Indicates that an entity received a specific award, optionally together with additional contextual details such as the work, role, or circumstances associated with that award.
-
C.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
D.
receivedAwardIn
Indicates that an entity was given or obtained a specific award in a particular place or context.
-
E.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67dbfc82081909ae5d04676627a6c |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:10 p.m.