Triple
T27973001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the President of Iran |
E706412
|
entity |
| Predicate | administersDutiesOf |
P39581
|
FINISHED |
| Object | President of Iran |
—
|
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: President of Iran | Statement: [Office of the President of Iran, administersDutiesOf, President of Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administersDutiesOf Context triple: [Office of the President of Iran, administersDutiesOf, President of Iran]
-
A.
administersFor
Indicates that one entity provides or applies something (such as a treatment, service, or resource) on behalf of or for the benefit of another entity.
-
B.
administersFrom
Indicates that an action, service, or process is carried out or managed starting from a particular source, location, or authority.
-
C.
assumesDutiesOf
chosen
Indicates that one entity takes over and begins performing the responsibilities or role previously held by another entity.
-
D.
administeredAs
Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
-
E.
appointedInAdministrationOf
Indicates that one entity was given an official position or role within the governing administration of another entity.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 7:39 p.m.