Triple
T30111623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد البرادعي |
E765291
|
entity |
| Predicate | مُنح |
P154736
|
FINISHED |
| Object | جائزة نوبل للسلام |
—
|
NE NERFINISHED |
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, مُنح, جائزة نوبل للسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مُنح Context triple: [محمد البرادعي, مُنح, جائزة نوبل للسلام]
-
A.
מושך
Indicates that one entity pulls, attracts, or draws another entity toward itself.
-
B.
grantedHonor
chosen
Indicates that one entity has formally bestowed an honor, award, or distinction upon another entity.
-
C.
monarchWhoGrants
Indicates a relationship where a monarch bestows, confers, or grants something (such as rights, titles, lands, or privileges) to another party.
-
D.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
E.
aimedToGrant
Indicates an intention or effort to provide or confer something (such as a right, benefit, or permission) to a recipient.
- 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.