Triple
T17763586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 Winter Youth Olympics |
E443442
|
entity |
| Predicate | hostNationIOCCode |
P6277
|
FINISHED |
| Object | SUI |
—
|
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: SUI | Statement: [2020 Winter Youth Olympics, hostNationIOCCode, SUI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUI Context triple: [2020 Winter Youth Olympics, hostNationIOCCode, SUI]
-
A.
SUI
chosen
SUI is the three-letter international code used to represent Switzerland in men's national ice hockey competitions.
-
B.
SUI-64
SUI-64 is a high-performance America's Cup racing yacht campaigned by the Swiss team Alinghi.
-
C.
SUI-100
SUI-100 is a high-performance America's Cup Class racing yacht campaigned by the Swiss sailing team Alinghi in elite international sailing competitions.
-
D.
Su
Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
-
E.
Su
Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f9fa188190aef5ffeb0b628632 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.