Triple
T6694883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salavat Yulaev Ufa |
E152722
|
entity |
| Predicate | hasRivalry |
P748
|
FINISHED |
| Object | Avangard Omsk |
E150397
|
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: Avangard Omsk | Statement: [Salavat Yulaev Ufa, hasRivalry, Avangard Omsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avangard Omsk Context triple: [Salavat Yulaev Ufa, hasRivalry, Avangard Omsk]
-
A.
Avangard Omsk
chosen
Avangard Omsk is a prominent professional ice hockey club from Omsk, Russia, known as one of the country’s most successful and historically significant teams.
-
B.
Vityaz Podolsk
Vityaz Podolsk is a professional ice hockey club based in Podolsk, Russia, known for competing in the Kontinental Hockey League (KHL).
-
C.
Kirov Factory
Kirov Factory is a historic Russian heavy machinery and defense plant best known for producing Soviet tanks and other armored vehicles.
-
D.
MKB Fakel
MKB Fakel is a Russian aerospace company best known for developing and producing rocket and space propulsion systems, particularly electric thrusters for satellites.
-
E.
Izhevsk Mechanical Plant
Izhevsk Mechanical Plant is a major Russian arms manufacturer known for producing a wide range of firearms and military equipment.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b196b300819095a194195ef9bd11 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bba1008190a0ea11aabdb3f360 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.