Triple

T1343557
Position Surface form Disambiguated ID Type / Status
Subject Lokomotiv Yaroslavl E28518 entity
Predicate hasRivalry P748 FINISHED
Object Ak Bars Kazan E156583 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: Ak Bars Kazan | Statement: [Lokomotiv Yaroslavl, hasRivalry, Ak Bars Kazan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ak Bars Kazan
Context triple: [Lokomotiv Yaroslavl, hasRivalry, Ak Bars Kazan]
  • A. Ak Bars Kazan chosen
    Ak Bars Kazan is a professional ice hockey club from Kazan, Russia, renowned as one of the country’s most successful and decorated teams.
  • B. Buynaksk
    Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
  • C. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • D. Khasavyurt
    Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
  • E. Kaspiysk
    Kaspiysk is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its industrial base and strategic naval facilities.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad014e33488190b50469c727b32639 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:56 p.m.