Triple

T7588009
Position Surface form Disambiguated ID Type / Status
Subject Sanki Sliding Center E179664 entity
Predicate locatedIn P40 FINISHED
Object Sochi 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 | Statement: [Sanki Sliding Center, locatedIn, Sochi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sochi
Context triple: [Sanki Sliding Center, locatedIn, Sochi]
  • 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. Krasnaya Polyana
    Krasnaya Polyana is a mountain resort settlement in Russia’s Western Caucasus, best known as a major ski and outdoor recreation destination that hosted events during the 2014 Sochi Winter Olympics.
  • C. Ekaterinodar
    Ekaterinodar, now known as Krasnodar, was a major city in southern Russia that served as an important political and military center in the Kuban region.
  • D. Sochi seaport
    Sochi seaport is a prominent Black Sea maritime hub in the Russian resort city of Sochi, known for its passenger terminals, yacht marina, and distinctive Stalinist-era architecture.
  • E. Luts’k
    Luts’k is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and for its well-preserved medieval castle.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99875908190b09584cf13ea1e08 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c93fa2550481908348b8b4dd23d6df completed March 29, 2026, 3:05 p.m.
Created at: March 27, 2026, 3:52 p.m.