Triple
T11596483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian national women's basketball team |
E275013
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RUS |
E675682
|
NE FINISHED |
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: RUS | Statement: [Russian national women's basketball team, hasAbbreviation, RUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RUS Context triple: [Russian national women's basketball team, hasAbbreviation, RUS]
-
A.
RUS
RUS is the National Rail station code assigned to Russell Square station in London.
-
B.
RUS
chosen
RUS is the three-letter International Olympic Committee country code used to represent Russia in Olympic competitions.
-
C.
RUS
RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
-
D.
Rus
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
-
E.
RU
RU is the commonly used abbreviation for the University of Rajshahi, a major public university in Bangladesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7cad108819082eebb3ca130f5b8 |
completed | April 22, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:38 p.m.