Triple
T24963079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roque Sáenz Peña |
E624660
|
entity |
| Predicate | Luis Sáenz Peña |
P157276
|
FINISHED |
| Object | also served as 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: also served as President of Argentina | Statement: [Roque Sáenz Peña, Luis Sáenz Peña, also served as President of Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Luis Sáenz Peña Context triple: [Roque Sáenz Peña, Luis Sáenz Peña, also served as President of Argentina]
-
A.
Duarte Coelho Pereira
Indicates a naming or identification relationship where an entity is designated as “Duarte Coelho Pereira.”
-
B.
Félix Kir
Indicates a relationship where an entity is associated with or named after Félix Kir, typically signifying dedication, commemoration, or attribution to this person.
-
C.
endTime (President of Argentina)
Indicates the point in time at which a person’s tenure as President of Argentina concludes.
-
D.
endTime (Vice President of Argentina)
Indicates the point in time at which a person’s tenure as Vice President of Argentina concludes.
-
E.
commanderArgentina
Indicates that one entity serves as the military or organizational commander of Argentina.
- F. None of above. chosen
Provenance (4 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4242f0968819098c3f0f92054d22f |
completed | May 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:59 a.m.