Triple
T20614868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viação Aérea Rio-Grandense |
E506538
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | VARIG |
—
|
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: VARIG | Statement: [Viação Aérea Rio-Grandense, hasAbbreviation, VARIG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VARIG Context triple: [Viação Aérea Rio-Grandense, hasAbbreviation, VARIG]
-
A.
Varig
chosen
Varig was Brazil’s former flagship airline, once the country’s largest carrier and a major international operator throughout much of the 20th century.
-
B.
Varia
Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
-
C.
Varvarco
Varvarco is a small town in Argentina’s Neuquén Province, known as a gateway to the Domuyo volcanic region and its surrounding Andean landscapes.
-
D.
Var
Var is a department in southeastern France known for its Mediterranean coastline, including popular resort areas along the French Riviera.
-
E.
Var
Var is a Norse goddess associated with oaths, agreements, and the punishment of those who break them.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadaf47881909e93efb535c6c1e3 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.