Triple
T4220137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niva |
E94317
|
entity |
| Predicate | titleInRussian |
P23454
|
FINISHED |
| Object | Нива |
E94317
|
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: Нива | Statement: [Niva, titleInRussian, Нива]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Нива Context triple: [Niva, titleInRussian, Нива]
-
A.
Lada Togliatti
Lada Togliatti is a professional ice hockey team from Togliatti, Russia, historically known as one of the prominent clubs in Russian and former International Hockey League competition.
-
B.
Niva
chosen
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
C.
Soviet MGB
The Soviet MGB was the Soviet Union’s post–World War II state security and intelligence agency, responsible for internal security, secret police functions, and counterintelligence before being reorganized into the KGB.
-
D.
Traktor Stalingrad
Traktor Stalingrad was a Soviet-era football club from the city then known as Stalingrad, later renamed FC Rotor Volgograd.
-
E.
KAMAZ
KAMAZ is a major Russian truck manufacturer known for producing heavy-duty vehicles and achieving multiple victories in the Dakar Rally.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e0c84548190b051d32d434cbf04 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a858a5b08190990a896265ac9725 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:04 p.m.