Triple
T20160009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALADI |
E491676
|
entity |
| Predicate | cooperatesWith |
P435
|
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: [ALADI, cooperatesWith, MERCOSUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MERCOSUR Context triple: [ALADI, cooperatesWith, MERCOSUR]
-
A.
MERCOSUR
chosen
MERCOSUR is a regional trade bloc in South America that promotes economic integration and free trade among its member countries.
-
B.
Andean Community
The Andean Community is a regional economic bloc in South America that promotes trade integration and cooperation among several Andean countries.
-
C.
TAM Mercosur
TAM Mercosur was a Paraguayan airline that operated regional flights in South America before being rebranded as LATAM Airlines Paraguay.
-
D.
UNASUR
UNASUR (Union of South American Nations) is a regional intergovernmental organization that promotes political, economic, and social integration among South American countries.
-
E.
Central American Common Market
The Central American Common Market is a regional economic integration organization that promotes free trade and economic cooperation among several Central American countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e37c8c8190827839291027d9e2 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.