Triple
T8167119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice President of Argentina |
E190719
|
entity |
| Predicate | assumesOfficeOf |
P39581
|
FINISHED |
| Object | President of Argentina |
—
|
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 Argentina | Statement: [Vice President of Argentina, assumesOfficeOf, President of Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumesOfficeOf Context triple: [Vice President of Argentina, assumesOfficeOf, President of Argentina]
-
A.
servesAsOfficeOf
Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
-
B.
assumesDutiesOf
chosen
Indicates that one entity takes over and begins performing the responsibilities or role previously held by another entity.
-
C.
successorOfficeEstablished
Indicates that a new office or position was formally created to replace or succeed a previous one.
-
D.
appointedIn
Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
-
E.
officeHolderBecame
Indicates that an individual assumed or transitioned into holding a particular office or official position.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46698fb88190a6d520b05cb9b03e |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:39 p.m.