Triple
T37260377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–Argentina relations |
E924240
|
entity |
| Predicate | regionalContextForArgentina |
P174128
|
FINISHED |
| Object | Mercosur |
—
|
NE NERFINISHED |
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: Mercosur | Statement: [South Africa–Argentina relations, regionalContextForArgentina, Mercosur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalContextForArgentina Context triple: [South Africa–Argentina relations, regionalContextForArgentina, Mercosur]
-
A.
ArgentinaRegionalAssociation
chosen
Indicates a regional organizational or associative relationship involving Argentina and a specific geographic area or subdivision.
-
B.
unitArgentina
Indicates a relationship where an entity is associated with, belongs to, or is characterized as a unit related to Argentina.
-
C.
argentineSectorPartOf
Indicates that one entity is a sector or subdivision that forms a component part of a larger Argentine administrative or geographic unit.
-
D.
provinceOnArgentineSide
Indicates that the referenced province is located on the Argentine side of a border or boundary.
-
E.
ArgentinaGroupDImpact
Indicates the effect or influence that Argentina’s performance or status has within Group D in a given context (such as a tournament or competition).
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
Created at: May 3, 2026, 4:15 p.m.