Triple
T8879826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد البرادعي |
E211380
|
entity |
| Predicate | officeFor |
P3103
|
FINISHED |
| Object | منصب المدير العام للوكالة الدولية للطاقة الذرية |
—
|
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: منصب المدير العام للوكالة الدولية للطاقة الذرية | Statement: [محمد البرادعي, officeFor, منصب المدير العام للوكالة الدولية للطاقة الذرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeFor Context triple: [محمد البرادعي, officeFor, منصب المدير العام للوكالة الدولية للطاقة الذرية]
-
A.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
B.
office
chosen
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
C.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
-
D.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
E.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61677c9c8190aa09dc2a05d4cf95 |
completed | April 1, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:52 p.m.