Triple
T20675906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Antarctic Expedition |
E508158
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | AARI |
—
|
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: AARI | Statement: [Russian Antarctic Expedition, operatedBy, AARI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AARI Context triple: [Russian Antarctic Expedition, operatedBy, AARI]
-
A.
AARI
chosen
AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
-
B.
Aari
Aari is an Omotic language spoken primarily by the Aari people in southwestern Ethiopia.
-
C.
AAR
AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
-
D.
AAR
AAR is the three-letter IATA airport code for Aarhus Airport in Denmark.
-
E.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cf18b48190be6995e197946517 |
completed | April 20, 2026, 11:25 p.m. |
Created at: April 16, 2026, 11:44 a.m.