Triple
T6346607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanya |
E142758
|
entity |
| Predicate | placeAssociated |
P19735
|
FINISHED |
| Object | White Russia |
E13665
|
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: White Russia | Statement: [Tanya, placeAssociated, White Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Russia Context triple: [Tanya, placeAssociated, White Russia]
-
A.
Belarus
chosen
Belarus is an Eastern European country known for its flat landscapes, dense forests, and historical ties to both the Soviet Union and the broader Slavic cultural sphere.
-
B.
Belorusskaya
Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
-
C.
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
-
D.
Byelorussian Soviet Socialist Republic
The Byelorussian Soviet Socialist Republic was a constituent republic of the Soviet Union that existed from 1919 to 1991 in the territory of present-day Belarus.
-
E.
Rusk
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067b907c4819085a3ea87589bc4be |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d4c78188190a7ceadeedd0e4d15 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:31 p.m.