Triple
T28089341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quinta de Olivos |
E709910
|
entity |
| Predicate | primaryResidentRole |
P153647
|
FINISHED |
| Object | head of state 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: head of state of Argentina | Statement: [Quinta de Olivos, primaryResidentRole, head of state of Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResidentRole Context triple: [Quinta de Olivos, primaryResidentRole, head of state of Argentina]
-
A.
principalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, activity, or relationship.
-
B.
primaryAdministrativeRole
chosen
Indicates that an entity holds the main or most significant administrative position or function in relation to another entity.
-
C.
primaryParticipant
Indicates that an entity plays the main or most central role in a given event, activity, or relationship.
-
D.
primaryPersona
Indicates that one entity is the main or most representative persona associated with another entity, distinguishing it from any secondary or supporting personas.
-
E.
residentShow
Indicates that a show is designated as the resident or primary ongoing production at a particular venue or location.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: April 27, 2026, 8:57 p.m.