Triple

T7236601
Position Surface form Disambiguated ID Type / Status
Subject Olympic Stadium E155243 entity
Predicate hasLocationExample P69519 FINISHED
Object Sochi, Russia E33306 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: Sochi, Russia | Statement: [Olympic Stadium, hasLocationExample, Sochi, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sochi, Russia
Context triple: [Olympic Stadium, hasLocationExample, Sochi, Russia]
  • A. Sochi chosen
    Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
  • B. Sochi Olympic Park
    Sochi Olympic Park is a large sports and entertainment complex in Sochi, Russia, built as the main coastal venue hub for the 2014 Winter Olympics and now used for various international events and tourism.
  • C. Krasnoyarsk, Russia
    Krasnoyarsk is a major industrial and cultural city in central Siberia, Russia, situated on the Yenisei River and known as a key hub of the region.
  • D. Petrozavodsk, Russia
    Petrozavodsk is the capital city of Russia’s Republic of Karelia, located on the western shore of Lake Onega and known as a regional cultural and industrial center.
  • E. Irkutsk, Russia
    Irkutsk, Russia is a historic Siberian city near Lake Baikal known for its role as a cultural and educational center in eastern Russia.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6f04089408190aa20ed6767590ae1 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc32d6c48190ae78b3d1227bb868 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.